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Journal of Medicine and Pharmacy","Tạp chí Y Dược học Cần Thơ",{"EN":487,"VI":488},"\u003Cp>\u003Cspan style=\"color: rgb(0, 0, 0);\">04\u002F10\u002F2015 Ministry of Information and Communications allowed Can Tho journal of medicine and pharmacy to operate (102 \u002FGP-BTTTT)\u003C\u002Fspan>\u003C\u002Fp>\u003Cp>\u003Cbr>\u003C\u002Fp>\u003Cp>\u003Cspan style=\"color: rgb(0, 0, 0);\">07\u002F16\u002F2015 Can Tho journal of medicine and pharmacy is internationally recognized: ISSN 2354-1210\u003C\u002Fspan>\u003C\u002Fp>\u003Cp>\u003Cbr>\u003C\u002Fp>\u003Cp>\u003Cspan style=\"color: rgb(0, 0, 0);\">In 2016, The journal has been included in the list of medical science journals by The State Council for professorship which is awarded a work score of 0-0.5 points for a published article.\u003C\u002Fspan>\u003C\u002Fp>\u003Cp>\u003Cbr>\u003C\u002Fp>\u003Cp>\u003Cspan style=\"color: rgb(0, 0, 0);\">Can Tho Journal of Medicine and Pharmacy welcome original works that haven’t been submitted or published in other medical journals. Posts must contain content related to one of the journal’s categories.\u003C\u002Fspan>\u003C\u002Fp>\u003Cp>\u003Cbr>\u003C\u002Fp>\u003Cp>\u003Cspan style=\"color: rgb(0, 0, 0);\">The content published\u003C\u002Fspan>\u003C\u002Fp>\u003Cp>\u003Cbr>\u003C\u002Fp>\u003Cp>\u003Cspan style=\"color: rgb(0, 0, 0);\">The journal is divided into 3 categories:\u003C\u002Fspan>\u003C\u002Fp>\u003Cp>\u003Cbr>\u003C\u002Fp>\u003Cp>\u003Cspan style=\"color: rgb(0, 0, 0);\">- Scientific research article: are valuable scientific works, which have been researched and accepted.\u003C\u002Fspan>\u003C\u002Fp>\u003Cp>\u003Cspan style=\"color: rgb(0, 0, 0);\">- Overview of medicine, biology and pharmacy: serving the objective of continuing training in the fields of medicine, biology and pharmacy; to systematize classical and modern knowledge.\u003C\u002Fspan>\u003C\u002Fp>\u003Cp>\u003Cspan style=\"color: rgb(0, 0, 0);\">- Update information on new knowledge about medicine, biology, pharmacy in the country and in the world.\u003C\u002Fspan>\u003C\u002Fp>\u003Cp>\u003Cbr>\u003C\u002Fp>\u003Cp>\u003Cspan style=\"color: rgb(0, 0, 0);\">Scope\u003C\u002Fspan>\u003C\u002Fp>\u003Cp>\u003Cbr>\u003C\u002Fp>\u003Cp>\u003Cspan style=\"color: rgb(0, 0, 0);\">- Publication and introduction of scientific research in the fields:\u003C\u002Fspan>\u003C\u002Fp>\u003Cp>\u003Cspan style=\"color: rgb(0, 0, 0);\">+ Medicine (internal medicine, surgery, pediatrics, obstetrics and gynecology, odonto-stomatology, laboratory, oncology, traditional medicine, nursing).\u003C\u002Fspan>\u003C\u002Fp>\u003Cp>\u003Cspan style=\"color: rgb(0, 0, 0);\">+ Biology (genetics, biotechnology).\u003C\u002Fspan>\u003C\u002Fp>\u003Cp>\u003Cspan style=\"color: rgb(0, 0, 0);\">+ Pharmacology (pharmaceutics, drug quality analysis-control, synthetic pharmaceutical chemistry, biochemistry, pharmacognosy, botany, clinical pharmacy).\u003C\u002Fspan>\u003C\u002Fp>\u003Cp>\u003Cspan style=\"color: rgb(0, 0, 0);\">- To enhance the quality of undergraduate, postgraduate education, scientifically researching and meet the necessary treatment in hospital.\u003C\u002Fspan>\u003C\u002Fp>\u003Cp>\u003Cspan style=\"color: rgb(0, 0, 0);\">- Introducing the updated domestic and oversea information about science technology to promote scientific research and exchanging technology in local, other universities.\u003C\u002Fspan>\u003C\u002Fp>\u003Cp>\u003Cspan style=\"color: rgb(0, 0, 0);\">- Exchanging pharmaceutical and medical information for social health developing in the Mekong Delta and Vietnam.\u003C\u002Fspan>\u003C\u002Fp>\u003Cp>\u003Cbr>\u003C\u002Fp>\u003Cp>\u003Cspan style=\"color: rgb(0, 0, 0);\">The object\u003C\u002Fspan>\u003C\u002Fp>\u003Cp>\u003Cbr>\u003C\u002Fp>\u003Cp>\u003Cspan style=\"color: rgb(0, 0, 0);\">Postgraduate students, student of Can Tho University of Medicine and Pharmacy, scientists from schools, research institutes, hospitals, health centers, pharmaceutical companies of the Mekong Delta; other provinces and regions in Vietnam and other country.\u003C\u002Fspan>\u003C\u002Fp>\u003Cp>\u003Cbr>\u003C\u002Fp>\u003Cp>\u003Cspan style=\"color: rgb(0, 0, 0);\">Address\u003C\u002Fspan>\u003C\u002Fp>\u003Cp>\u003Cbr>\u003C\u002Fp>\u003Cp>\u003Cspan style=\"color: rgb(0, 0, 0);\">Headquarters of Can Tho Journal of Medicine and Pharmacy, located Scientific Research and International Cooperation Office: 179 Nguyen Van Cu Street, An Khanh Ward, Ninh Kieu District, Can Tho City, Vietnam.\u003C\u002Fspan>\u003C\u002Fp>","\u003Cp>\u003Cspan style=\"color: rgb(0, 0, 0);\">Ngày 16\u002F7\u002F2015, Tạp chí Y Dược học Cần Thơ được cấp chỉ số quốc tế: ISSN 2354-1210.\u003C\u002Fspan>\u003C\u002Fp>\u003Cp>\u003Cbr>\u003C\u002Fp>\u003Cp>\u003Cspan style=\"color: rgb(0, 0, 0);\">Từ tháng 4\u002F2016, Tạp chí đã được Hội đồng Giáo sư ngành Y đưa vào danh sách các tạp chí khoa học Y học được tính điểm công trình 0-0,5 điểm cho một bài báo đăng.\u003C\u002Fspan>\u003C\u002Fp>\u003Cp>\u003Cbr>\u003C\u002Fp>\u003Cp>\u003Cspan style=\"color: rgb(0, 0, 0);\">Năm 2020 Tạp chí Y Dược học Cần Thơ đã được phê duyệt vào danh mục của các Hội đồng Giáo sư ngành Dược học được tính điểm công trình 0-0,5 điểm cho một bài báo đăng.\u003C\u002Fspan>\u003C\u002Fp>\u003Cp>\u003Cbr>\u003C\u002Fp>\u003Cp>\u003Cspan style=\"color: rgb(0, 0, 0);\">Tạp chí Y Dược học Cần Thơ ra 12 số\u002Fnăm, 180-200 trang\u002Fsố.\u003C\u002Fspan>\u003C\u002Fp>\u003Cp>\u003Cbr>\u003C\u002Fp>\u003Cp>\u003Cspan style=\"color: rgb(0, 0, 0);\">Từ tháng 12\u002F2022 Tạp chí Y Dược học Cần Thơ là thành viên của hệ thống Crossref và từ tháng 01\u002F2023 tạp chí thực hiện bình duyệt online kín 2 chiều nhằm tăng tính minh bạch, tin cậy của các công trình nghiên cứu khoa học và đảm bảo tốt nhất chất lượng khoa học của bài viết.\u003C\u002Fspan>\u003C\u002Fp>\u003Cp>\u003Cbr>\u003C\u002Fp>\u003Cp>\u003Cbr>\u003C\u002Fp>\u003Cp>\u003Cbr>\u003C\u002Fp>\u003Cp>\u003Cspan style=\"color: rgb(0, 0, 0);\">Tôn chỉ, mục đích và phạm vi của tạp chí\u003C\u002Fspan>\u003C\u002Fp>\u003Cp>\u003Cbr>\u003C\u002Fp>\u003Cp>\u003Cbr>\u003C\u002Fp>\u003Cp>\u003Cspan style=\"color: rgb(0, 0, 0);\">Tôn chỉ và mục đích hoạt động của tạp chí: xuất bản nhằm mục đích phổ biến kết quả từ các đề tài nghiên cứu khoa học; giao lưu trao đổi khoa học, chia sẻ kinh nghiệm, học tập, đồng thời cập nhật thông tin khoa học mới trong các lĩnh vực y, sinh, dược học trong và ngoài nước.\u003C\u002Fspan>\u003C\u002Fp>\u003Cp>\u003Cbr>\u003C\u002Fp>\u003Cp>\u003Cspan style=\"color: rgb(0, 0, 0);\">Phạm vi của tạp chí: Tạp chí xuất bản được chia thành 3 chuyên mục: (i) Bài báo nghiên cứu khoa học là kết quả công trình nghiên cứu khoa học có giá trị đã được triển khai nghiên cứu, (ii) Bài tổng quan y, sinh, dược học: phục vụ mục tiêu đào tạo liên tục trong lĩnh vực y, sinh, dược học; nhằm hệ thống hóa những kiến thức kinh điển và hiện đại; (iii) Thông tin cập nhật kiến thức mới về y, sinh, dược học trong nước và trên thế giới.\u003C\u002Fspan>\u003C\u002Fp>\u003Cp>\u003Cbr>\u003C\u002Fp>\u003Cp>\u003Cbr>\u003C\u002Fp>\u003Cp>\u003Cbr>\u003C\u002Fp>\u003Cp>\u003Cspan style=\"color: rgb(0, 0, 0);\">Chính sách truy cập mở\u003C\u002Fspan>\u003C\u002Fp>\u003Cp>\u003Cbr>\u003C\u002Fp>\u003Cp>\u003Cbr>\u003C\u002Fp>\u003Cp>\u003Cspan style=\"color: rgb(0, 0, 0);\">Tạp chí Y Dược học Cần Thơ áp dụng chính sách truy cập mở đối với các bài báo đã xuất bản đến với độc giả, nhằm mở rộng cơ hội tiếp cận các kết quả nghiên cứu chất lượng cao và tăng cường trao đổi kiến thức. Tạp chí đăng tải trực tuyến (miễn phí) toàn văn các bài báo được công bố trên website của Tạp chí (https:\u002F\u002Ftapchi.ctump.edu.vn).\u003C\u002Fspan>\u003C\u002Fp>\u003Cp>\u003Cbr>\u003C\u002Fp>\u003Cp>\u003Cbr>\u003C\u002Fp>\u003Cp>\u003Cbr>\u003C\u002Fp>\u003Cp>\u003Cspan style=\"color: rgb(0, 0, 0);\">Đạo đức xuất bản\u003C\u002Fspan>\u003C\u002Fp>\u003Cp>\u003Cbr>\u003C\u002Fp>\u003Cp>\u003Cbr>\u003C\u002Fp>\u003Cp>\u003Cspan style=\"color: rgb(0, 0, 0);\">Tạp chí Y Dược học Cần Thơ cam kết tuân thủ đạo đức xuất bản phù hợp với các hướng dẫn và tiêu chuẩn của the Committee on Publication Ethics (COPE), tuân thủ các nguyên tắc của COPE’s Core Practices, Best Practices Guidelines for Journal Editors và Guidelines on Good Publication Practices.\u003C\u002Fspan>\u003C\u002Fp>\u003Cp>\u003Cbr>\u003C\u002Fp>\u003Cp>\u003Cbr>\u003C\u002Fp>\u003Cp>\u003Cbr>\u003C\u002Fp>\u003Cp>\u003Cspan style=\"color: rgb(0, 0, 0);\">Bản thảo bài báo chỉ được chấp nhận khi được tác giả chịu trách nhiệm chính cam kết các nội dung sau: Các nội dung của bản thảo chưa được đăng tải toàn bộ hoặc một phần ở các tạp chí khác; Tất cả các tác giả đều có đóng góp một cách đáng kể vào quá trình nghiên cứu hoặc chuẩn bị bản thảo và cùng chịu trách nhiệm về các nội dung của bản thảo; Tuân thủ các biện pháp đảm bảo đạo đức nghiên cứu (ví dụ thỏa thuận đồng ý tham gia nghiên cứu).\u003C\u002Fspan>\u003C\u002Fp>\u003Cp>\u003Cbr>\u003C\u002Fp>\u003Cp>\u003Cbr>\u003C\u002Fp>\u003Cp>\u003Cbr>\u003C\u002Fp>\u003Cp>\u003Cspan style=\"color: rgb(0, 0, 0);\">Cam kết bảo mật\u003C\u002Fspan>\u003C\u002Fp>\u003Cp>\u003Cbr>\u003C\u002Fp>\u003Cp>\u003Cbr>\u003C\u002Fp>\u003Cp>\u003Cspan style=\"color: rgb(0, 0, 0);\">Tạp chí cam kết thực hiện và tuân thủ các quy định của luật và các văn bản hướng dẫn liên quan đến bảo mật thông tin cá nhân trên không gian mạng. Các thông tin mà người dùng (tác giả, độc giả, biên tập viên, người phản biện) nhập vào các biểu mẫu trên Hệ thống Quản lý xuất bản trực tuyến của tạp chí chỉ được sử dụng vào các mục đích đã được tuyên bố rõ ràng và sẽ không được cung cấp cho bất kỳ bên thứ ba nào khác, hay dùng vào bất kỳ mục đích nào khác.\u003C\u002Fspan>\u003C\u002Fp>\u003Cp>\u003Cbr>\u003C\u002Fp>\u003Cp>\u003Cbr>\u003C\u002Fp>\u003Cp>\u003Cbr>\u003C\u002Fp>\u003Cp>\u003Cspan style=\"color: rgb(0, 0, 0);\">Phí gửi bài\u003C\u002Fspan>\u003C\u002Fp>\u003Cp>\u003Cbr>\u003C\u002Fp>\u003Cp>\u003Cbr>\u003C\u002Fp>\u003Cp>\u003Cspan style=\"color: rgb(0, 0, 0);\">Lệ phí gửi đăng bài: 1.000.000đ\u002Fbài báo\u003C\u002Fspan>\u003C\u002Fp>\u003Cp>\u003Cbr>\u003C\u002Fp>\u003Cp>\u003Cspan style=\"color: rgb(0, 0, 0);\">Lệ phí gửi đăng nhanh: 1.500.000đ\u002Fbài báo\u003C\u002Fspan>\u003C\u002Fp>\u003Cp>\u003Cbr>\u003C\u002Fp>\u003Cp>\u003Cspan style=\"color: rgb(0, 0, 0);\">Đối với tác giả là cán bộ viên chức thuộc Trường Đại học Y Dược Cần Thơ thì được hỗ trợ 50% lệ phí gửi đăng bài.\u003C\u002Fspan>\u003C\u002Fp>\u003Cp>\u003Cbr>\u003C\u002Fp>\u003Cp>\u003Cspan style=\"color: rgb(0, 0, 0);\">Đối với sinh viên thực hiện đề tài nghiên cứu khoa học cấp trường được hỗ trợ 100% lệ phí đăng bài ( Tác giả gửi đính kèm “ Quyết định về việc giao tổ chức thực hiện đề tài nghiên cứu khoa học cấp Trường của sinh viên”).\u003C\u002Fspan>\u003C\u002Fp>\u003Cp>\u003Cbr>\u003C\u002Fp>\u003Cp>\u003Cspan style=\"color: rgb(0, 0, 0);\">Hình thức nộp lệ phí:\u003C\u002Fspan>\u003C\u002Fp>\u003Cp>\u003Cbr>\u003C\u002Fp>\u003Cp>\u003Cspan style=\"color: rgb(0, 0, 0);\">1. Tiền mặt:\u003C\u002Fspan>\u003C\u002Fp>\u003Cp>\u003Cbr>\u003C\u002Fp>\u003Cp>\u003Cspan style=\"color: rgb(0, 0, 0);\">Nộp trực tiếp tại Phòng Tài chính - Kế toán, Trường Đại học Y Dược Cần Thơ, số 179 Nguyễn Văn Cừ, P. An Khánh, Q. Ninh Kiều, thành phố Cần Thơ.\u003C\u002Fspan>\u003C\u002Fp>\u003Cp>\u003Cbr>\u003C\u002Fp>\u003Cp>\u003Cspan style=\"color: rgb(0, 0, 0);\">2. Chuyển khoản:\u003C\u002Fspan>\u003C\u002Fp>\u003Cp>\u003Cbr>\u003C\u002Fp>\u003Cp>\u003Cspan style=\"color: rgb(0, 0, 0);\">Tên Tài khoản: Trường ĐHYD Cần Thơ, Số TK: 0111000115668, tại ngân hàng Vietcombank chi nhánh Cần Thơ.\u003C\u002Fspan>\u003C\u002Fp>\u003Cp>\u003Cbr>\u003C\u002Fp>\u003Cp>\u003Cspan style=\"color: rgb(0, 0, 0);\">Thời gian: Áp dụng từ ngày 01\u002F02\u002F2023.\u003C\u002Fspan>\u003C\u002Fp>\u003Cp>\u003Cbr>\u003C\u002Fp>\u003Cp>\u003Cspan style=\"color: rgb(0, 0, 0);\">* Phí gửi bài không được hoàn trả khi bài viết bị từ chối hoặc tác giả xin rút bài viết.\u003C\u002Fspan>\u003C\u002Fp>\u003Cp>\u003Cbr>\u003C\u002Fp>\u003Cp>\u003Cbr>\u003C\u002Fp>\u003Cp>\u003Cbr>\u003C\u002Fp>\u003Cp>\u003Cspan style=\"color: rgb(0, 0, 0);\">Quy trình phản biện bài báo\u003C\u002Fspan>\u003C\u002Fp>\u003Cp>\u003Cbr>\u003C\u002Fp>\u003Cp>\u003Cbr>\u003C\u002Fp>\u003Cp>\u003Cspan style=\"color: rgb(0, 0, 0);\">Tạp chí Y Dược học Cần Thơ thực hiện quy trình phản biện kín hai chiều nghiêm ngặt. Danh tính của những người phản biện không được tiết lộ cho các tác giả và ngược lại. Quy trình thẩm định bài báo đăng gồm các bước sau:\u003C\u002Fspan>\u003C\u002Fp>\u003Cp>\u003Cbr>\u003C\u002Fp>\u003Cp>\u003Cspan style=\"color: rgb(0, 0, 0);\">Tiếp nhận bản thảo\u003C\u002Fspan>\u003C\u002Fp>\u003Cp>\u003Cspan style=\"color: rgb(0, 0, 0);\">Tác giả liên hệ gửi bản thảo đến Tạp chí qua hệ thống trực tuyến tại website: https:\u002F\u002Ftapchi.ctump.edu.vn. Hướng dẫn về cách đăng ký, gửi bài và chuẩn bị bản thảo được cung cấp trên website của Tạp chí.\u003C\u002Fspan>\u003C\u002Fp>\u003Cp>\u003Cbr>\u003C\u002Fp>\u003Cp>\u003Cspan style=\"color: rgb(0, 0, 0);\">Sàng lọc sơ bộ\u003C\u002Fspan>\u003C\u002Fp>\u003Cp>\u003Cspan style=\"color: rgb(0, 0, 0);\">Sau khi Tòa soạn nhận được bài báo của tác giả, Ban Thư ký sẽ tiến hành kiểm tra sơ bộ bài báo (các yêu cầu về nội dung và hình thức). Những bài báo không đúng quy cách hoặc có nội dung không phù hợp hoặc vi phạm bản quyền sẽ bị từ chối (Ban Thư ký thông báo phản hồi đến tác giả trong vòng 1 tuần). Những bài báo đủ điều kiện, được Ban Thư ký tòa soạn chuyển đến Ban Biên tập có cùng chuyên môn với nội dung bài báo để đề xuất người phản biện. Thời gian kể từ khi Ban Biên tập nhận bài báo đến khi đề xuất người phản biện bài báo chậm nhất là 5 ngày.\u003C\u002Fspan>\u003C\u002Fp>\u003Cp>\u003Cbr>\u003C\u002Fp>\u003Cp>\u003Cspan style=\"color: rgb(0, 0, 0);\">Vòng phản biện\u003C\u002Fspan>\u003C\u002Fp>\u003Cp>\u003Cspan style=\"color: rgb(0, 0, 0);\">1. Ban Thư ký gửi bài và yêu cầu phản biện đến 02 phản biện độc lập.\u003C\u002Fspan>\u003C\u002Fp>\u003Cp>\u003Cbr>\u003C\u002Fp>\u003Cp>\u003Cspan style=\"color: rgb(0, 0, 0);\">2. Các phản biện gởi nhận xét cho Ban Thư ký. Thời gian từ khi gửi bài cho phản biện đến khi nhận ý kiến của phản biện tối đa là 20 ngày.\u003C\u002Fspan>\u003C\u002Fp>\u003Cp>\u003Cbr>\u003C\u002Fp>\u003Cp>\u003Cspan style=\"color: rgb(0, 0, 0);\">Xử ký kết quả phản biện\u003C\u002Fspan>\u003C\u002Fp>\u003Cp>\u003Cspan style=\"color: rgb(0, 0, 0);\">1. Nếu ý kiến đồng ý cho đăng và không cần chỉnh sửa, Ban Thư ký tiếp tục đăng bài theo qui trình.\u003C\u002Fspan>\u003C\u002Fp>\u003Cp>\u003Cbr>\u003C\u002Fp>\u003Cp>\u003Cspan style=\"color: rgb(0, 0, 0);\">2. Nếu ý kiến đồng ý đăng và cần chỉnh sửa, Ban Thư ký sẽ thông tin đến tác giả chỉnh sửa theo yêu cầu của người phản biện. Thời gian chỉnh sửa và gửi lại kéo dài không quá 2 tuần, từ khi tác giả bài báo nhận được thông tin (Quá trình này có thể lặp lại tối đa 2 lần\u002F1 bài báo). Khi có sự thống nhất, đồng ý của người phản biện; bài báo được tiếp tục đăng theo qui trình.\u003C\u002Fspan>\u003C\u002Fp>\u003Cp>\u003Cbr>\u003C\u002Fp>\u003Cp>\u003Cspan style=\"color: rgb(0, 0, 0);\">3. Những bài báo có chất lượng không đạt yêu cầu, cả 2 phản biện không đồng ý cho đăng sẽ bị Tòa soạn từ chối đăng.\u003C\u002Fspan>\u003C\u002Fp>\u003Cp>\u003Cbr>\u003C\u002Fp>\u003Cp>\u003Cspan style=\"color: rgb(0, 0, 0);\">Xuất bản\u003C\u002Fspan>\u003C\u002Fp>\u003Cp>\u003Cspan style=\"color: rgb(0, 0, 0);\">1. Ban Thư ký tổng hợp các bản thảo đã được tác giả hoàn thiện sau thẩm định trình Ban Biên tập xem xét, Tổng Biên tập phê duyệt, quyết định bài đăng theo các tiêu chí: sự phù hợp nội dung với tôn chỉ và mục đích, thể loại bài viết (ưu tiên các bài có bài có nghiên cứu chuyên sâu, hàm lượng khoa học cao), đóng góp mới bài báo, bài báo được ưu tiên đăng trong số gần nhất của Tạp chí theo thứ tự: tính thời sự, chất lượng bài báo và thời gian gửi bài.\u003C\u002Fspan>\u003C\u002Fp>\u003Cp>\u003Cbr>\u003C\u002Fp>\u003Cp>\u003Cspan style=\"color: rgb(0, 0, 0);\">2. Ban Biên tập và Ban Thư ký biên tập bản thảo, chế bản, đọc rà soát lỗi. Thời gian hoàn thành từ 10-15 ngày.\u003C\u002Fspan>\u003C\u002Fp>\u003Cp>\u003Cbr>\u003C\u002Fp>\u003Cp>\u003Cspan style=\"color: rgb(0, 0, 0);\">3. Ban Thư ký có trách nhiệm thông báo cho tác giả bài báo (bằng e-mail) về tình hình phê duyệt bài báo, thời gian, số kỳ, tập xuất bản bài báo theo qui định.\u003C\u002Fspan>\u003C\u002Fp>\u003Cp>\u003Cbr>\u003C\u002Fp>\u003Cp>\u003Cspan style=\"color: rgb(0, 0, 0);\">4. Danh sách bài báo theo số Tạp chí được in ấn và phát hành trong năm định kỳ được công bố chính thức trên website: https:\u002F\u002Ftapchi.ctump.edu.vn\u003C\u002Fspan>\u003C\u002Fp>\u003Cp>\u003Cbr>\u003C\u002Fp>",{"VOID":490},"wcQ1uqwAAAAJ","2023-05-30T08:17:21.868+00:00",[],[494],{"id":495,"createTime":28,"updateTime":28,"relativeEntities":496,"slug":28,"properties":497,"entityType":28,"verifyStatus":28,"verifyTime":28,"verifyNote":28,"languages":28,"translateLanguages":28,"viewCount":28,"url":507,"parentIds":508,"statistic":28},"6413896b-eca9-442b-a73f-182a58a0ce40",[],{"title":498,"address":501,"country":504,"abbreviation":505},{"EN":499,"VI":500},"Can Tho University of Medicine and Pharmacy","Trường Đại học Y Dược Cần Thơ",{"EN":502,"VI":503},"No 179, Nguyen Van Cu street, An Khanh ward, Ninh Kieu district, Can Tho city, Vietnam","Số 179, đường Nguyễn Văn Cừ, phường An Khánh, quận Ninh Kiều, thành phố Cần Thơ, Việt Nam",{"VOID":15},{"VOID":506},"ctump","http:\u002F\u002Fwww.ctump.edu.vn\u002F",[],[],"https:\u002F\u002Ftapchi.ctump.edu.vn\u002Findex.php\u002Fctump",{"impactFactor":32,"impactFactorByYear":512,"i10Index":32,"i10IndexLast5Year":32,"totalPublication":514,"totalPublicationByYear":515,"totalCitation":520,"totalCitationByYear":521,"totalCitationPerPublication":108,"totalCitationPerPublicationByYear":523,"hindexLast5Year":45,"hindex":45},{"2022":513,"2023":111,"2024":106},0.01,1556,{"2020":47,"2021":516,"2022":517,"2023":518,"2024":519,"2025":122},57,306,801,358,161,{"2021":146,"2022":280,"2023":522},99,{"2021":524,"2022":318,"2023":104},0.23,{"impactFactor":28,"impactFactorByYear":28,"i10Index":123,"i10IndexLast5Year":123,"totalPublication":526,"totalPublicationByYear":527,"totalCitation":526,"totalCitationByYear":528,"totalCitationPerPublication":40,"totalCitationPerPublicationByYear":531,"hindexLast5Year":49,"hindex":49},476,{"0":205,"2019":123,"2021":139,"2022":459,"2023":451,"2024":357,"2025":49,"2026":48},{"2021":42,"2022":123,"2023":161,"2024":529,"2025":360,"2026":530},136,83,{"2021":105,"2022":513,"2023":532,"2024":127,"2025":533,"2026":534},0.62,25.43,13.83,{"id":536,"createTime":537,"updateTime":382,"relativeEntities":538,"slug":539,"properties":540,"entityType":25,"verifyStatus":26,"verifyTime":28,"verifyNote":28,"languages":552,"translateLanguages":28,"viewCount":133,"subjectFields":553,"manageAffiliations":554,"indexDatabases":555,"url":556,"thumbnailPath":557,"statistic":558,"gsStatistic":594,"type":55,"analyzePriority":28},"6984a56a-db70-403b-9cc4-4013e1ceaffa","2023-05-09T06:47:40.346+00:00",[],"T%E1%BA%A1p%20ch%C3%AD%20Nghi%C3%AAn%20c%E1%BB%A9u%20n%C6%B0%E1%BB%9Bc%20ngo%C3%A0i",{"country":541,"issn":542,"title":544,"introduce":547,"gsId":550},{"VOID":15},{"VOID":543},"25252445",{"EN":545,"VI":546},"VNU Journal of Foreign Studies","Tạp chí Nghiên cứu nước ngoài",{"EN":548,"VI":549},"{\"ops\":[{\"insert\":\"\\n\\nThe \\n\"},{\"attributes\":{\"italic\":true},\"insert\":\"VNU Journal of Science\"},{\"insert\":\"\\n was established in 1985 for the publication of national and international research papers in all fields of natural sciences and technology, social sciences and humanities. 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The journal provides a unique platform for population health researchers to share their findings with the global community. We seek research that addresses the communication of population health measures and policy implications to stakeholders; this includes papers related to burden estimation and risk assessment, and research addressing population health across the full range of development. Population Health Metrics covers a broad range of topics encompassing health state measurement and valuation, summary measures of population health, descriptive epidemiology at the population level, burden of disease and injury analysis, disease and risk factor modeling for populations, and comparative assessment of risks to health at the population level. The journal is also interested in how to use and communicate indicators of population health to reduce disease burden, and the approaches for translating from indicators of population health to health-advancing actions. As a cross-cutting topic of importance, we are particularly interested in inequalities in population health and their measurement.","PENDING",[885,891],{"id":886,"createTime":28,"updateTime":28,"relativeEntities":887,"label":888,"description":890,"parentId":28,"standard":28,"scholarHubFieldId":28},"fed8ff5a-c5db-47cb-862c-95ab8b1c4f7a",[],{"EN":889},"Public Health, Environmental and Occupational Health",{},{"id":892,"createTime":28,"updateTime":28,"relativeEntities":893,"label":894,"description":896,"parentId":28,"standard":28,"scholarHubFieldId":28},"9ac6f77e-ea80-470e-ab08-c9065379174a",[],{"EN":895},"Epidemiology",{},[898,905],{"id":899,"createTime":28,"updateTime":28,"relativeEntities":900,"slug":28,"properties":901,"entityType":28,"verifyStatus":28,"verifyTime":28,"verifyNote":28,"languages":28,"translateLanguages":28,"viewCount":28,"url":28,"parentIds":904,"statistic":28},"67883518-0c98-470e-b6b0-160ab49bb03d",[],{"title":902},{"EN":903},"BMC",[],{"id":906,"createTime":28,"updateTime":28,"relativeEntities":907,"slug":28,"properties":908,"entityType":28,"verifyStatus":28,"verifyTime":28,"verifyNote":28,"languages":28,"translateLanguages":28,"viewCount":28,"url":28,"parentIds":911,"statistic":28},"c5894808-4e99-4047-bbce-594f58821845",[],{"title":909},{"EN":910},"BioMed Central Ltd.",[],[913,926],{"id":914,"indexDatabase":915,"url":920,"indexYears":921,"academicFieldIds":922,"indexDatabaseRanking":925},"1a7ef0cd-7140-4ff6-8349-c134ba8532c8",{"id":775,"createTime":28,"updateTime":28,"relativeEntities":916,"label":917,"description":918,"key":781,"publicationTags":919,"standard":28},[],{"EN":778,"VI":778},{"EN":778,"VI":780},[783],"https:\u002F\u002Fwww.scopus.com\u002Fsourceid\u002F22494","2003-2025",[923,924],"ee1b374e-bbdc-4b00-909a-c625e8ec640c","d5e18365-217e-4716-96b9-4b5d58e7f231","SCOPUS__Q1",{"id":927,"indexDatabase":928,"url":939,"indexYears":28,"academicFieldIds":940,"indexDatabaseRanking":28},"6cee8a9d-97d4-437f-87f9-a413e10c1885",{"id":929,"createTime":28,"updateTime":28,"relativeEntities":930,"label":931,"description":933,"key":936,"publicationTags":937,"standard":28},"a8273be3-1221-4f26-949d-71dc71ff1fc3",[],{"EN":932,"VI":932},"ISI-SSCI -  Social Sciences Citation Index",{"EN":934,"VI":935},"SSCI database","Cơ sở dữ liệu SSCI","ssci",[938,813],"SSCI","https:\u002F\u002Fmjl.clarivate.com\u002Fsearch-results?issn=1478-7954",[941],"61a85c60-2368-4b5a-8324-de1dbb4521a5","https:\u002F\u002Fpophealthmetrics.biomedcentral.com\u002F",{"impactFactor":32,"impactFactorByYear":944,"i10Index":32,"i10IndexLast5Year":32,"totalPublication":945,"totalPublicationByYear":946,"totalCitation":32,"totalCitationByYear":947,"totalCitationPerPublication":32,"totalCitationPerPublicationByYear":948,"hindexLast5Year":32,"hindex":32},{},309,{"2003":48,"2004":123,"2005":48,"2006":49,"2007":145,"2008":48,"2009":146,"2010":129,"2011":150,"2012":126,"2013":47,"2014":146,"2015":199,"2016":136,"2017":122,"2018":127,"2019":47,"2020":136,"2021":134,"2022":199,"2023":126},{},{},{"meta":950,"data":952},{"total":951},"383",[953,1081,1169,1314,1428,1562,1720,1914,2090,2229],{"id":954,"createTime":955,"updateTime":956,"relativeEntities":957,"slug":958,"properties":959,"entityType":968,"verifyStatus":26,"verifyTime":956,"verifyNote":969,"languages":28,"translateLanguages":28,"viewCount":123,"primaryUrl":970,"fullTextUrl":28,"authors":971,"publicationType":1023,"publisherRelationship":1024,"citationCount":28,"citationInfo":28,"publishDate":1077,"publishYear":1078,"citationAnalyzeStatus":883,"lastCitationAnalyze":28,"indexDatabases":1079,"openAccess":28,"references":28,"isForceReanalyzing":1080},"0018593e-33b7-4c8d-a12b-bbdde9e683f7","2023-12-07T16:37:25.091+00:00","2025-01-24T09:02:07.508+00:00",[],"Measuring-the-burden-of-arboviral-diseases-the-spectrum-of-morbidity-and-mortality-from-four-prevalent-infections",{"abstract":960,"title":962,"references":964,"doi":966},{"EN":961},"Globally, arthropod-borne virus infections are increasingly common causes of severe febrile disease that can progress to long-term physical or cognitive impairment or result in early death. Because of the large populations at risk, it has been suggested that these outcomes represent a substantial health deficit not captured by current global disease burden assessments. We reviewed newly available data on disease incidence and outcomes to critically evaluate the disease burden (as measured by disability-adjusted life years, or DALYs) caused by yellow fever virus (YFV), Japanese encephalitis virus (JEV), chikungunya virus (CHIKV), and Rift Valley fever virus (RVFV). We searched available literature and official reports on these viruses combined with the terms \"outbreak(s),\" \"complication(s),\" \"disability,\" \"quality of life,\" \"DALY,\" and \"QALY,\" focusing on reports since 2000. We screened 210 published studies, with 38 selected for inclusion. Data on average incidence, duration, age at onset, mortality, and severity of acute and chronic outcomes were used to create DALY estimates for 2005, using the approach of the current Global Burden of Disease framework. Given the limitations of available data, nondiscounted, unweighted DALYs attributable to YFV, JEV, CHIKV, and RVFV were estimated to fall between 300,000 and 5,000,000 for 2005. YFV was the most prevalent infection of the four viruses evaluated, although a higher proportion of the world's population lives in countries at risk for CHIKV and JEV. Early mortality and long-term, related chronic conditions provided the largest DALY components for each disease. The better known, short-term viral febrile syndromes caused by these viruses contributed relatively lower proportions of the overall DALY scores. Limitations in health systems in endemic areas undoubtedly lead to underestimation of arbovirus incidence and related complications. However, improving diagnostics and better understanding of the late secondary results of infection now give a first approximation of the current disease burden from these widespread serious infections. Arbovirus control and prevention remains a high priority, both because of the current disease burden and the significant threat of the re-emergence of these viruses among much larger groups of susceptible populations.",{"EN":963},"Measuring the burden of arboviral diseases: the spectrum of morbidity and mortality from four prevalent infections",{"VOID":965},"CDC Viral Hemorrhagic Fevers Fact Sheet[http:\u002F\u002Fwww.cdc.gov\u002Fncidod\u002Fdvrd\u002Fspb\u002Fmnpages\u002Fdispages\u002Fvhf.htm]\nCDC Arboviral Encephalitides Fact Sheet[http:\u002F\u002Fwww.cdc.gov\u002Fncidod\u002Fdvbid\u002FArbor\u002Findex.htm]\nGould EA, Solomon T: Pathogenic flaviviruses. Lancet 2008, 371: 500-509. 10.1016\u002FS0140-6736(08)60238-X\nSang RC, Dunster LM: The growing threat of arbovirus transmission and outbreaks in Kenya: a review. East Afr Med J 2001, 78: 655-661.\nGubler D: The emergence of epidemic dengue fever and dengue hemorrhagic fever in the Americas: a case of failed public health policy. Rev Panam Salud Publica 2005, 17: 221-224. 10.1590\u002FS1020-49892005000400001\nGubler DJ: Dengue and dengue hemorrhagic fever. Clin Microbiol Rev 1998, 11: 480-496.\nGubler DJ: The global emergence\u002Fresurgence of arboviral diseases as public health problems. Arch Med Res 2002, 33: 330-342. 10.1016\u002FS0188-4409(02)00378-8\nGubler DJ: Epidemic dengue\u002Fdengue hemorrhagic fever as a public health, social and economic problem in the 21st century. Trends Microbiol 2002, 10: 100-103. 10.1016\u002FS0966-842X(01)02288-0\nGubler DJ, Clark GG: Dengue\u002Fdengue hemorrhagic fever: the emergence of a global health problem. Emerg Infect Dis 1995, 1: 55-57. 10.3201\u002Feid0102.950204\nGubler DJ, Meltzer M: Impact of dengue\u002Fdengue hemorrhagic fever on the developing world. Adv Virus Res 1999, 53: 35-70. full_text\nLundstrom JO: Mosquito-borne viruses in western Europe: a review. J Vector Ecol 1999, 24: 1-39.\nMackenzie JS, Gubler DJ, Petersen LR: Emerging flaviviruses: the spread and resurgence of Japanese encephalitis, West Nile and dengue viruses. Nat Med 2004, 10: S98-109. 10.1038\u002Fnm1144\nMackenzie JS, Johansen CA, Ritchie SA, van den Hurk AF, Hall RA: Japanese encephalitis as an emerging virus: the emergence and spread of Japanese encephalitis virus in Australasia. Curr Top Microbiol Immunol 2002, 267: 49-73.\nNash D, Mostashari F, Fine A, Miller J, O'Leary D, Murray K, Huang A, Rosenberg A, Greenberg A, Sherman M, et al.: The outbreak of West Nile virus infection in the New York City area in 1999. N Engl J Med 2001, 344: 1807-1814. 10.1056\u002FNEJM200106143442401\nW.H.O. Dengue and dengue haemorrhagic fever fact sheet. No. 117 March 2009[http:\u002F\u002Fwww.who.int\u002Fmediacentre\u002Ffactsheets\u002Ffs117\u002Fen\u002F]\nLaBeaud AD: Why arboviruses can be neglected tropical diseases. PLoS Negl Trop Dis 2008, 2: e247. 10.1371\u002Fjournal.pntd.0000247\nLaBeaud AD, Lisgaris MV, King CH, Mandalakas AM: Pediatric West Nile virus infection: neurologic disease presentations during the 2002 epidemic in Cuyahoga County, Ohio. Pediatr Infect Dis J 2006, 25: 751-753. 10.1097\u002F01.inf.0000227830.73271.65\nRobin S, Ramful D, Le Seach F, Jaffar-Bandjee MC, Rigou G, Alessandri JL: Neurologic manifestations of pediatric chikungunya infection. J Child Neurol 2008, 23: 1028-1035. 10.1177\u002F0883073808314151\nBalkhy HH, Schreiber JR: Severe La Crosse encephalitis with significant neurologic sequelae. Pediatr Infect Dis J 2000, 19: 77-80. 10.1097\u002F00006454-200001000-00016\nCarson PJ, Konewko P, Wold KS, Mariani P, Goli S, Bergloff P, Crosby RD: Long-term clinical and neuropsychological outcomes of West Nile virus infection. Clin Infect Dis 2006, 43: 723-730. 10.1086\u002F506939\nKlee AL, Maidin B, Edwin B, Poshni I, Mostashari F, Fine A, Layton M, Nash D: Long-term prognosis for clinical West Nile virus infection. Emerg Infect Dis 2004, 10: 1405-1411.\nOu AC, Ratard RC: One-year sequelae in patients with West Nile Virus encephalitis and meningitis in Louisiana. J La State Med Soc 2005, 157: 42-46.\nSejvar JJ, Haddad MB, Tierney BC, Campbell GL, Marfin AA, Van Gerpen JA, Fleischauer A, Leis AA, Stokic DS, Petersen LR: Neurologic manifestations and outcome of West Nile virus infection. JAMA 2003, 290: 511-515. 10.1001\u002Fjama.290.4.511\nSejvar JJ, Bode AV, Marfin AA, Campbell GL, Pape J, Biggerstaff BJ, Petersen LR: West Nile Virus-associated flaccid paralysis outcome. Emerg Infect Dis 2006, 12: 514-516.\nSejvar JJ: The long-term outcomes of human West Nile virus infection. Clin Infect Dis 2007, 44: 1617-1624. 10.1086\u002F518281\nWatson JT, Pertel PE, Jones RC, Siston AM, Paul WS, Austin CC, Gerber SI: Clinical characteristics and functional outcomes of West Nile Fever. Ann Intern Med 2004, 141: 360-365.\nLaBeaud AD, Muchiri EM, Ndzovu M, Mwanje MT, Muiruri S, Peters CJ, King CH: Interepidemic Rift Valley fever virus seropositivity, northeastern Kenya. Emerg Infect Dis 2008, 14: 1240-1246. 10.3201\u002Feid1408.080082\nSiam AL, Gharbawi KF, Meegan JM: Ocular complications of Rift Valley fever. J Egypt Public Health Assoc 1978, 53: 185-186.\nSiam AL, Meegan J: Ocular disease resulting from infection with Rift Valley fever virus. Trans R Soc Trop Med Hyg 1980, 74: 539. 10.1016\u002F0035-9203(80)90074-7\nSiam AL, Meegan JM, Gharbawi KF: Rift Valley fever ocular manifestation: observations during the 1977 epidemic in the Arab Republic of Egypt. British Journal of Ophthalmology 1980, 64: 366-374. 10.1136\u002Fbjo.64.5.366\nAl-Hazmi A, Al-Rajhi AA, Abboud EB, Ayoola EA, Al-Hazmi M, Saadi R, Ahmed N: Ocular complications of Rift Valley fever outbreak in Saudi Arabia. Ophthalmology 2005, 112: 313-318. 10.1016\u002Fj.ophtha.2004.09.018\nAl-Hazmi M, Ayoola EA, Abdurahman M, Banzal S, Ashraf J, El-Bushra A, Hazmi A, Abdullah M, Abbo H, Elamin A, et al.: Epidemic Rift Valley fever in Saudi Arabia: a clinical study of severe illness in humans. Clin Infect Dis 2003, 36: 245-252. 10.1086\u002F345671\nAnninger W, Lubow M: Visual loss with West Nile virus infection: a wider spectrum of a \"new\" disease. Clin Infect Dis 2004, 38: e55-56. 10.1086\u002F382884\nAnninger WV, Lomeo MD, Dingle J, Epstein AD, Lubow M: West Nile virus-associated optic neuritis and chorioretinitis. Am J Ophthalmol 2003, 136: 1183-1185. 10.1016\u002FS0002-9394(03)00738-4\nEidsness RB, Stockl F, Colleaux KM: West Nile chorioretinitis. Can J Ophthalmol 2005, 40: 721-724.\nHershberger VS, Augsburger JJ, Hutchins RK, Miller SA, Horwitz JA, Bergmann M: Chorioretinal lesions in nonfatal cases of West Nile virus infection. Ophthalmology 2003, 110: 1732-1736. 10.1016\u002FS0161-6420(03)00720-6\nKhairallah M, Ben Yahia S, Ladjimi A, Zeghidi H, Ben Romdhane F, Besbes L, Zaouali S, Messaoud R: Chorioretinal involvement in patients with West Nile virus infection. Ophthalmology 2004, 111: 2065-2070. 10.1016\u002Fj.ophtha.2004.03.032\nKhairallah M, Yahia SB, Letaief M, Attia S, Kahloun R, Jelliti B, Zaouali S, Messaoud R: A prospective evaluation of factors associated with chorioretinitis in patients with West Nile virus infection. Ocul Immunol Inflamm 2007, 15: 435-439. 10.1080\u002F09273940701798488\nKoevary SB: Ocular involvement in patients infected by the West Nile virus. Optometry 2005, 76: 609-612.\nBacsal KE, Chee SP, Cheng CL, Flores JV: Dengue-associated maculopathy. Arch Ophthalmol 2007, 125: 501-510. 10.1001\u002Farchopht.125.4.501\nGupta A, Srinivasan R, Setia S, Soundravally R, Pandian DG: Uveitis following dengue fever. Eye (Lond) 2009, 23: 873-876.\nKapoor HK, Bhai S, John M, Xavier J: Ocular manifestations of dengue fever in an East Indian epidemic. Can J Ophthalmol 2006, 41: 741-746. 10.3129\u002FI06-069\nLim WK, Mathur R, Koh A, Yeoh R, Chee SP: Ocular manifestations of dengue fever. Ophthalmology 2004, 111: 2057-2064. 10.1016\u002Fj.ophtha.2004.03.038\nMehta S, Jiandani P: Ocular features of dengue septic shock (DSS). J Assoc Physicians India 2006, 54: 866.\nNah G, Tan M, Teoh S, Chong CH: Maculopathy associated with Dengue fever in a military pilot. Aviat Space Environ Med 2007, 78: 1064-1067. 10.3357\u002FASEM.2138.2007\nSeet RC, Quek AM, Lim EC: Symptoms and risk factors of ocular complications following dengue infection. J Clin Virol 2007, 38: 101-105. 10.1016\u002Fj.jcv.2006.11.002\nSu DH, Bacsal K, Chee SP, Flores JV, Lim WK, Cheng BC, Jap AH: Prevalence of dengue maculopathy in patients hospitalized for dengue fever. Ophthalmology 2007, 114: 1743-1747. 10.1016\u002Fj.ophtha.2007.03.054\nLalitha P, Rathinam S, Banushree K, Maheshkumar S, Vijayakumar R, Sathe P: Ocular involvement associated with an epidemic outbreak of chikungunya virus infection. Am J Ophthalmol 2007, 144: 552-556. 10.1016\u002Fj.ajo.2007.06.002\nMittal A, Mittal S, Bharati MJ, Ramakrishnan R, Saravanan S, Sathe PS: Optic neuritis associated with chikungunya virus infection in South India. Arch Ophthalmol 2007, 125: 1381-1386. 10.1001\u002Farchopht.125.10.1381\nMittal A, Mittal S, Bharathi JM, Ramakrishnan R, Sathe PS: Uveitis during outbreak of Chikungunya fever. Ophthalmology 2007, 114: 1798. 10.1016\u002Fj.ophtha.2007.03.045\nMahendradas P, Ranganna SK, Shetty R, Balu R, Narayana KM, Babu RB, Shetty BK: Ocular manifestations associated with chikungunya. Ophthalmology 2008, 115: 287-291. 10.1016\u002Fj.ophtha.2007.03.085\nYim R, Posfay-Barbe KM, Nolt D, Fatula G, Wald ER: Spectrum of clinical manifestations of West Nile virus infection in children. Pediatrics 2004, 114: 1673-1675. 10.1542\u002Fpeds.2004-0491\nBjorn G: Victims of West Nile virus face long-term health problems. Nat Med 2008, 14: 700. 10.1038\u002Fnm0708-700b\nMurray KO, Baraniuk S, Resnick M, Arafat R, Kilborn C, Shallenberger R, York TL, Martinez D, Malkoff M, Elgawley N, et al.: Clinical investigation of hospitalized human cases of West Nile virus infection in Houston, Texas, 2002-2004. Vector Borne Zoonotic Dis 2008, 8: 167-174. 10.1089\u002Fvbz.2007.0109\nGould EA, Solomon T, Mackenzie JS: Does antiviral therapy have a role in the control of Japanese encephalitis? Antiviral Res 2008, 78: 140-149. 10.1016\u002Fj.antiviral.2007.10.005\nSolomon T, Kneen R, Dung NM, Khanh VC, Thuy TT, Ha DQ, Day NP, Nisalak A, Vaughn DW, White NJ: Poliomyelitis-like illness due to Japanese encephalitis virus. Lancet 1998, 351: 1094-1097. 10.1016\u002FS0140-6736(97)07509-0\nMarimoutou C, Vivier E, Simon F: Long-lasting overmorbidity and impaired quality of life 30 months after chikungunya infection: Comparative cohort of French gendarmes exposed to chikungunya in 2006 in Reunion Island [abstract 376]. American Society of Tropical Medicine and Hygiene 59th Annual Meeting; Atlanta, Georgia. Am J Trop Med Hyg 2010, 109.\nMathers CD, Ezzati M, Lopez AD: Measuring the burden of neglected tropical diseases: the global burden of disease framework. PLoS Negl Trop Dis 2007, 1: e114. 10.1371\u002Fjournal.pntd.0000114\nMurray CJL, Lopez AD: The Global Burden of Disease: A comprehensive assessment of mortality and disability from diseases, injuries, and risk factors in 1990 and projected to 2020. Cambridge MA: Harvard School of Public Health\u002FWorld Bank; 1996.\nLopez AD, Mathers CD, Ezzati M, Jamison DT, Murray CJ: Global Burden of Disease and Risk Factors. Washington DC: World Bank; 2006.\nJamison DT, Breman JG, Measham AR, Alleyne G, Claeson M, Evans DB, Jha P, Mills A, Musgrove P, (Eds): Disease Control Priorities in Developing Countries 2\u002Fe. New York: Oxford University Press; 2006.\nKhairallah M, Ben Yahia S, Attia S, Zaouali S, Ladjimi A, Messaoud R: Linear pattern of West Nile virus-associated chorioretinitis is related to retinal nerve fibres organization. Eye (Lond) 2007, 21: 952-955.\nSanders EJ, Marfin AA, Tukei PM, Kuria G, Ademba G, Agata NN, Ouma JO, Cropp CB, Karabatsos N, Reiter P, et al.: First recorded outbreak of yellow fever in Kenya, 1992-1993. I. Epidemiologic investigations. Am J Trop Med Hyg 1998, 59: 644-649.\nLowry PW, Truong DH, Hinh LD, Ladinsky JL, Karabatsos N, Cropp CB, Martin D, Gubler DJ: Japanese encephalitis among hospitalized pediatric and adult patients with acute encephalitis syndrome in Hanoi, Vietnam 1995. Am J Trop Med Hyg 1998, 58: 324-329.\nBorgherini G, Poubeau P, Staikowsky F, Lory M, Le Moullec N, Becquart JP, Wengling C, Michault A, Paganin F: Outbreak of chikungunya on Reunion Island: early clinical and laboratory features in 157 adult patients. Clin Infect Dis 2007, 44: 1401-1407. 10.1086\u002F517537\nStaples JE, Breiman RF, Powers AM: Chikungunya fever: an epidemiological review of a re-emerging infectious disease. Clin Infect Dis 2009, 49: 942-948. 10.1086\u002F605496\nRiou O, Philippe B, Jouan A, Coulibaly I, Mondo M, Digoutte JP: [Neurologic and neurosensory forms of Rift Valley fever in Mauritania]. Bull Soc Pathol Exot Filiales 1989, 82: 605-610.\nKahlon SS, Peters CJ, Leduc J, Muchiri EM, Muiruri S, Njenga MK, Breiman RF, Clinton White A Jr, King CH: Severe Rift Valley fever may present with a characteristic clinical syndrome. Am J Trop Med Hyg 2010, 82: 371-375. 10.4269\u002Fajtmh.2010.09-0669\nMurray CJ: Rethinking DALYs. In The Global Burden of Disease. Edited by: Murray CJ, Lopez AD. Cambridge MA: Harvard School of Public Health\u002FWorld Bank; 1996:1-98.\nAnderson RM, May RM: Infectious Diseases of Humans. Dynamics and Control. New York: Oxford University Press; 1991.\nMudur G: Failure to control mosquitoes has led to two fever epidemics in India. BMJ 2006, 333: 773. 10.1136\u002Fbmj.333.7572.773-c\nFischer M, Lindsey N, Staples JE, Hills S: Japanese encephalitis vaccines: recommendations of the Advisory Committee on Immunization Practices (ACIP). MMWR Recomm Rep 2010, 59: 1-27.\nMandalakas AM, Kippes C, Sedransk J, Kile JR, Garg A, McLeod J, Berry RL, Marfin AA: West Nile virus epidemic, northeast Ohio, 2002. Emerg Infect Dis 2005, 11: 1774-1777.\nWoods CW, Karpati AM, Grein T, McCarthy N, Gaturuku P, Muchiri E, Dunster L, Henderson A, Khan AS, Swanepoel R, et al.: An outbreak of Rift Valley Fever in Northeastern Kenya, 1997-98. Emerging Infectious Diseases 2002, 8: 138-144. 10.3201\u002Feid0802.010023\nCharrel RN, de Lamballerie X, Raoult D: Chikungunya outbreaks--the globalization of vectorborne diseases. N Engl J Med 2007, 356: 769-771. 10.1056\u002FNEJMp078013\nWoods CW, Karpati AM, Grein T, McCarthy N, Gaturuku P, Muchiri E, Dunster L, Henderson A, Khan AS, Swanepoel R, et al.: An outbreak of Rift Valley fever in Northeastern Kenya, 1997-98. Emerg Infect Dis 2002, 8: 138-144. 10.3201\u002Feid0802.010023\nKari K, Liu W, Gautama K, Mammen MP Jr, Clemens JD, Nisalak A, Subrata K, Kim HK, Xu ZY: A hospital-based surveillance for Japanese encephalitis in Bali, Indonesia. BMC Med 2006, 4: 8. 10.1186\u002F1741-7015-4-8\nMutebi JP, Barrett AD: The epidemiology of yellow fever in Africa. Microbes Infect 2002, 4: 1459-1468. 10.1016\u002FS1286-4579(02)00028-X\nMonath TP: Yellow fever: an update. Lancet Infect Dis 2001, 1: 11-20. 10.1016\u002FS1473-3099(01)00016-0\nGould LH, Osman MS, Farnon EC, Griffith KS, Godsey MS, Karch S, Mulenda B, El Kholy A, Grandesso F, de Radigues X, et al.: An outbreak of yellow fever with concurrent chikungunya virus transmission in South Kordofan, Sudan, 2005. Trans R Soc Trop Med Hyg 2008, 102: 1247-1254. 10.1016\u002Fj.trstmh.2008.04.014\nRibeiro M, Antunes CM: [Yellow fever: study of an outbreak]. Rev Soc Bras Med Trop 2009, 42: 523-531.\nSolomon T, Dung NM, Kneen R, Gainsborough M, Vaughn DW, Khanh VT: Japanese encephalitis. J Neurol Neurosurg Psychiatry 2000, 68: 405-415. 10.1136\u002Fjnnp.68.4.405\nHossain MJ, Gurley ES, Montgomery S, Petersen L, Sejvar J, Fischer M, Panella A, Powers AM, Nahar N, Uddin AK, et al.: Hospital-based surveillance for Japanese encephalitis at four sites in Bangladesh, 2003-2005. Am J Trop Med Hyg 2010, 82: 344-349. 10.4269\u002Fajtmh.2010.09-0125\nTandale BV, Sathe PS, Arankalle VA, Wadia RS, Kulkarni R, Shah SV, Shah SK, Sheth JK, Sudeep AB, Tripathy AS, Mishra AC: Systemic involvements and fatalities during chikungunya epidemic in India, 2006. J Clin Virol 2009, 46: 145-149. 10.1016\u002Fj.jcv.2009.06.027\nSoumahoro MK, Gerardin P, Boelle PY, Perrau J, Fianu A, Pouchot J, Malvy D, Flahault A, Favier F, Hanslik T: Impact of chikungunya virus infection on health status and quality of life: a retrospective cohort study. PLoS One 2009, 4: e7800. 10.1371\u002Fjournal.pone.0007800\nBorgherini G, Poubeau P, Jossaume A, Gouix A, Cotte L, Michault A, Arvin-Berod C, Paganin F: Persistent arthralgia associated with chikungunya virus: a study of 88 adult patients on Reunion Island. Clin Infect Dis 2008, 47: 469-475. 10.1086\u002F590003\nde Andrade DC, Jean S, Clavelou P, Dallel R, Bouhassira D: Chronic pain associated with the Chikungunya Fever: long lasting burden of an acute illness. BMC Infect Dis 2010, 10: 31. 10.1186\u002F1471-2334-10-31\nSeyler T, Hutin Y, Ramanchandran V, Ramakrishnan R, Manickam P, Murhekar M: Estimating the burden of disease and the economic cost attributable to chikungunya, Andhra Pradesh, India, 2005-2006. Trans R Soc Trop Med Hyg 2010, 104: 133-138. 10.1016\u002Fj.trstmh.2009.07.014\nMeegan JM, Hoogstraal H, Moussa MI: An epizootic of Rift Valley fever in Egypt in 1977. Vet Rec 1979, 105: 124-125. 10.1136\u002Fvr.105.6.124\nPeters CJ, Liu CT, Anderson GW Jr, Morrill JC, Jahrling PB: Pathogenesis of viral hemorrhagic fevers: Rift Valley fever and Lassa fever contrasted. Rev Infect Dis 1989,11(Suppl 4):S743-749.\nNjenga MK, Paweska J, Wanjala R, Rao CY, Weiner M, Omballa V, Luman ET, Mutonga D, Sharif S, Panning M, et al.: Using a field quantitative real-time PCR test to rapidly identify highly viremic Rift Valley fever cases. J Clin Microbiol 2009, 47: 1166-1171. 10.1128\u002FJCM.01905-08\nAnyangu AS, Gould LH, Sharif SK, Nguku PM, Omolo J, Mutonga D, Rao CY, Lederman E, Schnabel DC, Paweska JT, et al.: Risk factors for severe Rift Valley fever infection in Kenya, 2007. Am J Trop Med Hyg 2010,83(Suppl 2):14-21.\nSejvar JJ, Leis AA, Stokic DS, Van Gerpen JA, Marfin AA, Webb R, Haddad MB, Tierney BC, Slavinski SA, Polk JL, et al.: Acute flaccid paralysis and West Nile virus infection. Emerg Infect Dis 2003, 9: 788-793.\nShears P: Emerging and reemerging infections in Africa: the need for improved laboratory services and disease surveillance. Microbes Infect 2000, 2: 489-495. 10.1016\u002FS1286-4579(00)00309-9\nTaylor TE, Fu WJ, Carr RA, Whitten RO, Mueller JS, Fosiko NG, Lewallen S, Liomba NG, Molyneux ME: Differentiating the pathologies of cerebral malaria by postmortem parasite counts. Nat Med 2004, 10: 143-145. 10.1038\u002Fnm986\nVazquez-Prokopec GM, Stoddard ST, Paz-Soldan V, Morrison AC, Elder JP, Kochel TJ, Scott TW, Kitron U: Usefulness of commercially available GPS data-loggers for tracking human movement and exposure to dengue virus. Int J Health Geogr 2009, 8: 68. 10.1186\u002F1476-072X-8-68\nWinter-Nelson A, Rich KM: Mad cows and sick birds: financing international responses to animal disease in developing countries. Development Policy Review 2008, 26: 211-226. 10.1111\u002Fj.1467-7679.2008.00406.x\nHales S, Weinstein P, Woodward A: Public health impacts of global climate change. Rev Environ Health 1997, 12: 191-199.\nGitheko AK, Lindsay SW, Confalonieri UE, Patz JA: Climate change and vector-borne diseases: a regional analysis. Bull World Health Organ 2000, 78: 1136-1147.\nPatz JA, Lindsay SW: New challenges, new tools: the impact of climate change on infectious diseases. Curr Opin Microbiol 1999, 2: 445-451. 10.1016\u002FS1369-5274(99)80078-2\nShope R: Global climate change and infectious diseases. Environ Health Perspect 1991, 96: 171-174. 10.2307\u002F3431227\nPowers AM, Logue CH: Changing patterns of chikungunya virus: re-emergence of a zoonotic arbovirus. J Gen Virol 2007, 88: 2363-2377. 10.1099\u002Fvir.0.82858-0\nSchuffenecker I, Iteman I, Michault A, Murri S, Frangeul L, Vaney MC, Lavenir R, Pardigon N, Reynes JM, Pettinelli F, et al.: Genome microevolution of chikungunya viruses causing the Indian Ocean outbreak. PLoS Med 2006, 3: e263. 10.1371\u002Fjournal.pmed.0030263\nLaBeaud AD, Ochiai Y, Peters CJ, Muchiri EM, King CH: Spectrum of Rift Valley fever virus transmission in Kenya: insights from three distinct regions. Am J Trop Med Hyg 2007, 76: 795-800.",{"VOID":967},"10.1186\u002F1478-7954-9-1","PUBLICATION","Auto Verify","https:\u002F\u002Fpophealthmetrics.biomedcentral.com\u002Farticles\u002F10.1186\u002F1478-7954-9-1",[972,997,1010],{"id":973,"sortIndex":32,"researcher":28,"roles":974,"affiliations":976,"properties":994,"displayName":996,"givenName":28,"familyName":28},"d2f3ee50-5d5a-44f9-8d0e-e3336127ae77",[975],"AUTHOR",[977,985],{"id":978,"sortIndex":32,"affiliation":979,"properties":28},"7c90dc88-beb5-4c07-bef0-6296a2d919ba",{"id":978,"createTime":28,"updateTime":28,"relativeEntities":980,"slug":28,"properties":981,"entityType":28,"verifyStatus":28,"verifyTime":28,"verifyNote":28,"languages":28,"translateLanguages":28,"viewCount":28,"url":28,"parentIds":984,"statistic":28},[],{"title":982},{"VI":983},"Center for Immunobiology and Vaccine Development, Children's Hospital Oakland Research Institute, Oakland, USA",[],{"id":986,"sortIndex":40,"affiliation":987,"properties":993},"882e709a-9725-4793-afdd-59feeac12fb3",{"id":986,"createTime":28,"updateTime":28,"relativeEntities":988,"slug":28,"properties":989,"entityType":28,"verifyStatus":28,"verifyTime":28,"verifyNote":28,"languages":28,"translateLanguages":28,"viewCount":28,"url":28,"parentIds":992,"statistic":28},[],{"title":990},{"VI":991},"Center for Global Health and Diseases, Case Western Reserve University, Cleveland, USA",[],{},{"title":995},{"VI":996},"ADesirée LaBeaud",{"id":998,"sortIndex":40,"researcher":28,"roles":999,"affiliations":1000,"properties":1007,"displayName":1009,"givenName":28,"familyName":28},"d85b1328-2b69-4102-8a9c-3e36f0a531c5",[975],[1001],{"id":978,"sortIndex":32,"affiliation":1002,"properties":28},{"id":978,"createTime":28,"updateTime":28,"relativeEntities":1003,"slug":28,"properties":1004,"entityType":28,"verifyStatus":28,"verifyTime":28,"verifyNote":28,"languages":28,"translateLanguages":28,"viewCount":28,"url":28,"parentIds":1006,"statistic":28},[],{"title":1005},{"VI":983},[],{"title":1008},{"VI":1009},"Fatima Bashir",{"id":1011,"sortIndex":123,"researcher":28,"roles":1012,"affiliations":1013,"properties":1020,"displayName":1022,"givenName":28,"familyName":28},"a203b193-c0b4-494c-ad07-1c0bc5e18700",[975],[1014],{"id":986,"sortIndex":32,"affiliation":1015,"properties":28},{"id":986,"createTime":28,"updateTime":28,"relativeEntities":1016,"slug":28,"properties":1017,"entityType":28,"verifyStatus":28,"verifyTime":28,"verifyNote":28,"languages":28,"translateLanguages":28,"viewCount":28,"url":28,"parentIds":1019,"statistic":28},[],{"title":1018},{"VI":991},[],{"title":1021},{"VI":1022},"Charles H King","ARTICLE",{"url":970,"publisher":1025,"properties":1072},{"id":868,"createTime":869,"updateTime":870,"relativeEntities":1026,"slug":872,"properties":1027,"entityType":25,"verifyStatus":883,"verifyTime":28,"verifyNote":28,"languages":28,"translateLanguages":28,"viewCount":40,"subjectFields":1032,"manageAffiliations":1041,"indexDatabases":1052,"url":942,"thumbnailPath":28,"statistic":1067,"gsStatistic":28,"type":28,"analyzePriority":28},[],{"country":1028,"eissn":1029,"issn":1030,"title":1031},{"VOID":875},{"VOID":877},{"VOID":877},{"EN":880},[1033,1037],{"id":886,"createTime":28,"updateTime":28,"relativeEntities":1034,"label":1035,"description":1036,"parentId":28,"standard":28,"scholarHubFieldId":28},[],{"EN":889},{},{"id":892,"createTime":28,"updateTime":28,"relativeEntities":1038,"label":1039,"description":1040,"parentId":28,"standard":28,"scholarHubFieldId":28},[],{"EN":895},{},[1042,1047],{"id":899,"createTime":28,"updateTime":28,"relativeEntities":1043,"slug":28,"properties":1044,"entityType":28,"verifyStatus":28,"verifyTime":28,"verifyNote":28,"languages":28,"translateLanguages":28,"viewCount":28,"url":28,"parentIds":1046,"statistic":28},[],{"title":1045},{"EN":903},[],{"id":906,"createTime":28,"updateTime":28,"relativeEntities":1048,"slug":28,"properties":1049,"entityType":28,"verifyStatus":28,"verifyTime":28,"verifyNote":28,"languages":28,"translateLanguages":28,"viewCount":28,"url":28,"parentIds":1051,"statistic":28},[],{"title":1050},{"EN":910},[],[1053,1060],{"id":914,"indexDatabase":1054,"url":920,"indexYears":921,"academicFieldIds":1059,"indexDatabaseRanking":925},{"id":775,"createTime":28,"updateTime":28,"relativeEntities":1055,"label":1056,"description":1057,"key":781,"publicationTags":1058,"standard":28},[],{"EN":778,"VI":778},{"EN":778,"VI":780},[783],[923,924],{"id":927,"indexDatabase":1061,"url":939,"indexYears":28,"academicFieldIds":1066,"indexDatabaseRanking":28},{"id":929,"createTime":28,"updateTime":28,"relativeEntities":1062,"label":1063,"description":1064,"key":936,"publicationTags":1065,"standard":28},[],{"EN":932,"VI":932},{"EN":934,"VI":935},[938,813],[941],{"impactFactor":32,"impactFactorByYear":1068,"i10Index":32,"i10IndexLast5Year":32,"totalPublication":945,"totalPublicationByYear":1069,"totalCitation":32,"totalCitationByYear":1070,"totalCitationPerPublication":32,"totalCitationPerPublicationByYear":1071,"hindexLast5Year":32,"hindex":32},{},{"2003":48,"2004":123,"2005":48,"2006":49,"2007":145,"2008":48,"2009":146,"2010":129,"2011":150,"2012":126,"2013":47,"2014":146,"2015":199,"2016":136,"2017":122,"2018":127,"2019":47,"2020":136,"2021":134,"2022":199,"2023":126},{},{},{"pages":1073,"volume":1075},{"VOID":1074},"1-11",{"VOID":1076},"9","2011-01-10",2011,[938,925],false,{"id":1082,"createTime":1083,"updateTime":1084,"relativeEntities":1085,"slug":1086,"properties":1087,"entityType":968,"verifyStatus":26,"verifyTime":1084,"verifyNote":969,"languages":28,"translateLanguages":28,"viewCount":32,"primaryUrl":1096,"fullTextUrl":28,"authors":1097,"publicationType":1023,"publisherRelationship":1113,"citationCount":28,"citationInfo":28,"publishDate":1166,"publishYear":1167,"citationAnalyzeStatus":883,"lastCitationAnalyze":28,"indexDatabases":1168,"openAccess":28,"references":28,"isForceReanalyzing":1080},"025f52f1-791b-43da-8c0b-31e6be8e7029","2024-01-27T19:32:59.289+00:00","2024-12-20T04:09:36.332+00:00",[],"Ethnic-differences-in-cancer-incidence-in-Estonia-two-cross-sectional-unlinked-census-based-cancer-incidence-analyses",{"abstract":1088,"title":1090,"references":1092,"doi":1094},{"EN":1089},"Estonian and Russian ethnic groups in Estonia differ from one another in several aspects, such as historic and socio-economic background, language and culture. The aim of the current study was to examine ethnic differences in cancer incidence in Estonia, and to compare the situation before and after the profound political and economical changes in the early 1990s. Two cross-sectional unlinked census-based cancer incidence analyses were performed. Cancer incidence data were obtained from the Estonian Cancer Registry. Population denominators came from the population censuses of 1989 and 2000. Standardized cancer incidence rates were calculated for men and women for the aggregate periods 1988–1990 and 1999–2000. Differences in cancer incidence between Estonians and Russians in 1989 and 2000 were estimated for both sexes, using standardized rate ratios with 95% confidence intervals. In 1988–1990, the total cancer incidence in Russian men was higher than that in Estonian men (SRR = 1.26, 95%CI = 1.19–1.34). In 1999–2000, the total cancer incidence in men showed only slightly higher estimates in Russians than in Estonians (SRR = 1.06, 95%CI = 0.99–1.32). Cancers of stomach, colon and lung had persisting higher values in Russian men in 1999–2000. In women, the differences were smaller than in men, and the total cancer incidence showed no differences relating to neither of the time periods studied. With regard to specific sites, excess of stomach cancer incidence was seen in Russian women (SRR = 1.45, 95%CI = 1.15–1.81). The ethnic differences in general decreased between the two time periods studied. Some of the differences in cancer rates between the Estonians and Russians in Estonia are likely to be attributable to the variation in exposure to specific etiologic factors that are causedby differences in lifestyle and habits, such as hygiene, smoking and drinking. Further research with a view to understanding these ethnic differences in cancer incidence is warranted.",{"EN":1091},"Ethnic differences in cancer incidence in Estonia: two cross-sectional unlinked census-based cancer incidence analyses",{"VOID":1093},"Eesti rahvastik rahvaloenduse andmetel. Population of Estonia by population censuses I. Tallinn: Statistical Office of Estonia; 1995.\nEesti statistika aastaraamat 2003. Statistical yearbook of Estonia 2003. Tallinn: Statistical Office of Estonia; 2003.\nRahu M: Stomach cancer incidence rates in the USSR in 1963–72 (in Russian). Vopr Onkol 1977, 23: 41-5.\nThomson H, Rahu M, Aareleid T, Gornoi K: Cancer in Estonia 1968–1992. Tallinn: Institute of Experimental and Clinical Medicine; 1996.\nLeinsalu M: Social variation in self-rated health in Estonia: a cross-sectional study. Soc Sci Med 2002, 55: 847-61. 10.1016\u002FS0277-9536(01)00221-0\nLeinsalu M, Vagero D, Kunst AE: Increasing ethnic differences in mortality in Estonia after the collapse of the Soviet Union. J Epidemiol Community Health 2004, 58: 583-9. 10.1136\u002Fjech.2003.013755\nLeinsalu M, Aluoja A, Noorkõiv R, et al.: Sotsiaalmajanduslik kuuluvus ning selle toimemehhanismid vaimse ja füüsilise terviseseisundi määramisel. Socioeconomic inequalities in physical and mental health and some possible explanatory mechanisms. Tallinn: National Research and Development Program in Public Health; 2003.\nPercy C, van Holten F, Muir C: International classification of diseases for oncology. Second edition. Geneva: World Health Organization; 1990.\nInternational Statistical Classification of Diseases and Related Health Problems, tenth revision. Volume I. Geneva: World Health Organization; 1992.\nRahu M, McKee M: Epidemiological research labelled as a violation of privacy: the case of Estonia. Int J Epidemiol 2008, 37: 678-82. 10.1093\u002Fije\u002Fdyn022\n2000 Population and Housing Census. I Population de facto and usual resident population, population sex and age structure. Tallinn: Statistical Office of Estonia; 2001.\nBreslow NE, Day NE: Rates and rate standardization. In Statistical methods in cancer research. – the design and analysis of cohort studies. Volume II. Lyon: IARC; 1987:48-79.\nGeneral information of 2000 Population and Housing Census in Estonia2000. [http:\u002F\u002Fwww.stat.ee\u002F26262]\nLang K: Cancer in Estonia: validity and rates. PhD thesis. University of London, School of Hygiene and Tropical Medicine; 2005.\nParkin DM, Whelan SL, Ferlay J, Teppo L, Thomas DB, eds: Cancer incidence in five continents. Volume III. IARC Scientific Publications. Lyon: IARC; 2002.\nCurado MP, Parkin DM, Shin HR, Whelan SL, Storm H, Ferlay J, Heanue M, Boyle P, eds: Cancer incidence in five continents. Volume IX. IARC Scientific Publications. Lyon: IARC; 2007.\nRahu M, McKee M: Epidemiological research labelled as a violation of privacy: the case of Estonia. Int J Epidemiol 2008, 37: 678-82. 10.1093\u002Fije\u002Fdyn022\nReshetnikov OV, Haiva VM, Granberg C, Kurilovich SA, Babin VP: Seroprevalence of Helicobacter pylori infection in Siberia. Helicobacter 2001, 6: 331-6. 10.1046\u002Fj.1523-5378.2001.00045.x\n2000 Population and housing census. II Citizenship, nationality, mother tongue and command of foreign languages. Tallinn: Statistical Office of Estonia; 2001.\nDe Vries AC, Van Driel HF, Richardus JH, Ouwendijk M, Van VuurenAJ, De Man RA, Kuipers EJ: Migrant communities constitute a possible target population for primary prevention of Helicobacter pylori-related complications in low incidence countries. Scand J Gastroenterol 2008, 43: 403-9. 10.1080\u002F00365520701814077\nOtt JJ, Paltiel AM, Becher H: Noncommunicable disease mortality and life expectancy in immigrants to Israel from the former Soviet Union: country of origin compared with host country. Bull World Health Organ 2009, 87: 20-9. 10.2471\u002FBLT.07.045138\nRonellenfitsch U, Kyobutungi C, Ott JJ, Paltiel A, Razum O, Schwarzbach M, Winkler V, Becher H: Stomach cancer mortality in two large cohorts of migrants from the Former Soviet Union to Israel and Germany: are there implications for prevention? Eur J Gastroenterol Hepatol 2009, 21: 409-416. 10.1097\u002FMEG.0b013e3283155220\nKunst AE, Leinsalu M, Kasmel A, Habicht J: Social inequalities in health in Estonia. Main report. Tallinn: Ministry of Social Affairs of Estonia; 2002.\nHeinen MM, Verhage BA, Ambergen TA, Goldbohm RA, Brandt PA: Alcohol consumption and risk of pancreatic cancer in the Netherlands cohort study. Am J Epidemiol 2009, 169: 1233-42. 10.1093\u002Faje\u002Fkwp028",{"VOID":1095},"10.1186\u002F1478-7954-7-10","https:\u002F\u002Fpophealthmetrics.biomedcentral.com\u002Farticles\u002F10.1186\u002F1478-7954-7-10",[1098],{"id":1099,"sortIndex":32,"researcher":28,"roles":1100,"affiliations":1101,"properties":1110,"displayName":1112,"givenName":28,"familyName":28},"3338be17-c0b8-4880-adbf-acf063b96050",[975],[1102],{"id":1103,"sortIndex":32,"affiliation":1104,"properties":28},"1392ba9c-e08b-4455-b1e0-5bcd74016219",{"id":1103,"createTime":28,"updateTime":28,"relativeEntities":1105,"slug":28,"properties":1106,"entityType":28,"verifyStatus":28,"verifyTime":28,"verifyNote":28,"languages":28,"translateLanguages":28,"viewCount":28,"url":28,"parentIds":1109,"statistic":28},[],{"title":1107},{"VI":1108},"Department of Public Health, University of Tartu, Tartu, Estonia",[],{"title":1111},{"VI":1112},"Katrin Lang",{"url":1096,"publisher":1114,"properties":1161},{"id":868,"createTime":869,"updateTime":870,"relativeEntities":1115,"slug":872,"properties":1116,"entityType":25,"verifyStatus":883,"verifyTime":28,"verifyNote":28,"languages":28,"translateLanguages":28,"viewCount":40,"subjectFields":1121,"manageAffiliations":1130,"indexDatabases":1141,"url":942,"thumbnailPath":28,"statistic":1156,"gsStatistic":28,"type":28,"analyzePriority":28},[],{"country":1117,"eissn":1118,"issn":1119,"title":1120},{"VOID":875},{"VOID":877},{"VOID":877},{"EN":880},[1122,1126],{"id":886,"createTime":28,"updateTime":28,"relativeEntities":1123,"label":1124,"description":1125,"parentId":28,"standard":28,"scholarHubFieldId":28},[],{"EN":889},{},{"id":892,"createTime":28,"updateTime":28,"relativeEntities":1127,"label":1128,"description":1129,"parentId":28,"standard":28,"scholarHubFieldId":28},[],{"EN":895},{},[1131,1136],{"id":899,"createTime":28,"updateTime":28,"relativeEntities":1132,"slug":28,"properties":1133,"entityType":28,"verifyStatus":28,"verifyTime":28,"verifyNote":28,"languages":28,"translateLanguages":28,"viewCount":28,"url":28,"parentIds":1135,"statistic":28},[],{"title":1134},{"EN":903},[],{"id":906,"createTime":28,"updateTime":28,"relativeEntities":1137,"slug":28,"properties":1138,"entityType":28,"verifyStatus":28,"verifyTime":28,"verifyNote":28,"languages":28,"translateLanguages":28,"viewCount":28,"url":28,"parentIds":1140,"statistic":28},[],{"title":1139},{"EN":910},[],[1142,1149],{"id":914,"indexDatabase":1143,"url":920,"indexYears":921,"academicFieldIds":1148,"indexDatabaseRanking":925},{"id":775,"createTime":28,"updateTime":28,"relativeEntities":1144,"label":1145,"description":1146,"key":781,"publicationTags":1147,"standard":28},[],{"EN":778,"VI":778},{"EN":778,"VI":780},[783],[923,924],{"id":927,"indexDatabase":1150,"url":939,"indexYears":28,"academicFieldIds":1155,"indexDatabaseRanking":28},{"id":929,"createTime":28,"updateTime":28,"relativeEntities":1151,"label":1152,"description":1153,"key":936,"publicationTags":1154,"standard":28},[],{"EN":932,"VI":932},{"EN":934,"VI":935},[938,813],[941],{"impactFactor":32,"impactFactorByYear":1157,"i10Index":32,"i10IndexLast5Year":32,"totalPublication":945,"totalPublicationByYear":1158,"totalCitation":32,"totalCitationByYear":1159,"totalCitationPerPublication":32,"totalCitationPerPublicationByYear":1160,"hindexLast5Year":32,"hindex":32},{},{"2003":48,"2004":123,"2005":48,"2006":49,"2007":145,"2008":48,"2009":146,"2010":129,"2011":150,"2012":126,"2013":47,"2014":146,"2015":199,"2016":136,"2017":122,"2018":127,"2019":47,"2020":136,"2021":134,"2022":199,"2023":126},{},{},{"pages":1162,"volume":1164},{"VOID":1163},"1-5",{"VOID":1165},"7","2009-06-28",2009,[938,925],{"id":1170,"createTime":1171,"updateTime":1172,"relativeEntities":1173,"slug":1174,"properties":1175,"entityType":968,"verifyStatus":26,"verifyTime":1172,"verifyNote":969,"languages":28,"translateLanguages":28,"viewCount":32,"primaryUrl":1184,"fullTextUrl":28,"authors":1185,"publicationType":1023,"publisherRelationship":1258,"citationCount":28,"citationInfo":28,"publishDate":1311,"publishYear":1312,"citationAnalyzeStatus":883,"lastCitationAnalyze":28,"indexDatabases":1313,"openAccess":28,"references":28,"isForceReanalyzing":1080},"02667eea-0b59-437c-8e32-84057a44d85c","2023-12-13T01:11:03.062+00:00","2024-12-23T21:51:00.861+00:00",[],"Comparison-of-three-small-area-mortality-metrics-according-to-urbanity-in-Korea-the-standardized-mortality-ratio-comparative-mortality-figure-and-life-expectancy",{"abstract":1176,"title":1178,"references":1180,"doi":1182},{"EN":1177},"This study aimed to compare three small-area level mortality metrics according to urbanity in Korea: the standardized mortality ratio (SMR), comparative mortality figure (CMF), and life expectancy (LE) by urbanity. We utilized the National Health Information Database to obtain annual small-area level age-specific numbers of population and deaths in Korea between 2013 and 2017. First, differences in the SMR by urbanity were examined, assuming the same age-specific mortality rates in all small areas. Second, we explored the differences in ranking obtained using the three metrics (SMR, CMF, and LE). Third, the ratio of CMF to SMR by population was analyzed according to urbanity. We found that the age-specific population distributions in urbanized areas were similar, but rural areas had a relatively old population structure. The age-specific mortality ratio also differed by urbanity. Assuming the same rate of age-specific mortality across all small areas, we found that comparable median values in all areas. However, areas with a high SMR showed a strong predominance of metropolitan areas. The ranking by SMR differed markedly from the rankings by CMF and LE, especially in areas of high mortality, while the latter two metrics did not differ notably. The ratio of CMF to SMR showed larger variations in small areas in rural areas, particularly in those with small populations, than in metropolitan and urban areas. In a comparison of multiple SMRs, bias could exist if the study areas have large differences in population structure. The use of CMF or LE should be considered for comparisons if it is possible to acquire age-specific mortality data for each small area.",{"EN":1179},"Comparison of three small-area mortality metrics according to urbanity in Korea: the standardized mortality ratio, comparative mortality figure, and life expectancy",{"VOID":1181},"Silcocks PB, Jenner DA, Reza R. Life expectancy as a summary of mortality in a population: statistical considerations and suitability for use by health authorities. J Epidemiol Community Health. 2001;55(1):38–43.\nOffice for National Statistics. Standardised Mortality Ratios for wards in England and Wales, 1999-2003: results for those aged under 85 for males, females and all persons. UK: Office for National Statistics (ONS); 2004.\nCourt BV, Cheng KK. Pros and cons of standardised mortality ratios. Lancet. 1995;346(8987):1432.\nTsai SP, Wen CP. A review of methodological issues of the standardized mortality ratio (SMR) in occupational cohort studies. Int J Epidemiol. 1986;15(1):8–21.\nJulious SA, Nicholl J, George S. Why do we continue to use standardized mortality ratios for small area comparisons? J Public Health Med. 2001;23(1):40–6.\nJonker MF, van Lenthe FJ, Congdon PD, Donkers B, Burdorf A, Mackenbach JP. Comparison of Bayesian random-effects and traditional life expectancy estimations in small-area applications. Am J Epidemiol. 2012;176(10):929–37.\nGordis L. Epidemiology. Fifth ed. Philadelphia, PA: Elsevier Saunders; 2014.\nRothman KJ, Greenland S, Lash TL. Modern Epidemiology. Third ed. Philadelphia, PA: Lippincott Williams & Wilkins; 2008.\nBhopal RS. Concepts of Epidemiology. Third ed. New York, NY: Oxford University Press; 2016.\nArmstrong BG. Comparing standardized mortality ratios. Ann Epidemiol. 1995;5(1):60–4.\nTsai SP, Hardy RJ, Wen CP. The standardized mortality ratio and life expectancy. Am J Epidemiol. 1992;135(7):824–31.\nGustafson TL. Three uses of the standardized infection ratio (SIR) in infection control. Infect Control Hosp Epidemiol. 2006;27(4):427–30.\nJulious SA, George S. Are hospital league tables calculated correctly? Public Health. 2007;121(12):902–4 discussion 5-8.\nGoldman DA, Brender JD. Are standardized mortality ratios valid for public health data analysis? Stat Med. 2000;19(8):1081–8.\nDelgado-Rodriguez M, Llorca J. Caution should be exercised when using the standardized infection ratio. Infect Control Hosp Epidemiol. 2005;26(1):8–9.\nVeugelers PJ, Kim AL, Guernsey JR. Inequalities in health. Analytic approaches based on life expectancy and suitable for small area comparisons. J Epidemiol Community Health. 2000;54(5):375–80.\nPickett KE, Pearl M. Multilevel analyses of neighbourhood socioeconomic context and health outcomes: a critical review. J Epidemiol Community Health. 2001;55(2):111–22.\nDwyer-Lindgren L, Cork MA, Sligar A, Steuben KM, Wilson KF, Provost NR, et al. Mapping HIV prevalence in sub-Saharan Africa between 2000 and 2017. Nature. 2019;570(7760):189–93.\nDwyer-Lindgren L, Stubbs RW, Bertozzi-Villa A, Morozoff C, Callender C, Finegold SB, et al. Variation in life expectancy and mortality by cause among neighbourhoods in King County, WA, USA, 1990-2014: a census tract-level analysis for the Global Burden of Disease Study 2015. Lancet Public Health. 2017;2(9):e400–e10.\nAsaria P, Fortunato L, Fecht D, Tzoulaki I, Abellan JJ, Hambly P, et al. Trends and inequalities in cardiovascular disease mortality across 7932 English electoral wards, 1982-2006: Bayesian spatial analysis. Int J Epidemiol. 2012;41(6):1737–49 discussion 50-2.\nMinistry of Health. Monitoring Health Inequality Through Neighbourhood Life Expectancy. Wellington: Ministry of Health; 2005.\nKim JH, Yoon TH. Comparisons of health inequalities in small areas with using the standardized mortality ratios in Korea. J Prev Med Public Health. 2008;41(5):300–6.\nShin H, Lee S, Chu JM. Development of composite deprivation index for Korea: the correlation with standardized mortality ratio. J Prev Med Public Health. 2009;42(6):392–402 Korean.\nLocal Government Act. Available from: http:\u002F\u002Fwww.law.go.kr\u002FlsInfoP.do?lsiSeq=195113&efYd=20170726#0000. Accessed 5 Nov 2019.\nCheol Seong S, Kim YY, Khang YH, Heon Park J, Kang HJ, Lee H, et al. Data Resource Profile: The National Health Information Database of the National Health Insurance Service in South Korea. Int J Epidemiol. 2017;46(3):799–800.\nBahk J, Kim YY, Kang HY, Lee J, Kim I, Lee J, et al. Using the National Health Information Database of the National Health Insurance Service in Korea for Monitoring Mortality and Life Expectancy at National and Local Levels. J Korean Med Sci. 2017;32(11):1764–70.\nKim I, Chang Y, Kang HY, Kim YY, Park JH, Khang YH. Use of the National Health Information Database for Estimating Town-Level Mortality in Korea: Comparison with the National Administrative Data, 2014-2017. J Korean Med Sci. 2019;34(23):e168.\nKorean Administrative Unit Classification as of December 31, 2017 [updated 2018. Available from: http:\u002F\u002Fkssc.kostat.go.kr\u002FksscNew_web\u002Fkssc\u002Fcommon\u002FCommonBoardList.do?gubun=1&strCategoryNameCode=019&strBbsId=kascrr&categoryMenu=014.\nPearce J. The 'blemish of place': stigma, geography and health inequalities. A commentary on Tabuchi, Fukuhara & Iso. Soc Sci Med. 2012;75(11):1921–4.\nWilliams ES, Scott CM, Scott SM. Using mortality data to describe geographic variations in health status at sub-district level. Public Health. 1995;109(1):67–73.\nPreston S, Heuveline P, Guillot M. Demography: measuring and modelling population processes. Wiley-Blackwell: MA, USA; 2000.\nAndreev EM, Shkolnikov VM. Spreadsheet for calculation of confidence limits for any life table or health-life table quantity. Rostock, Germany: Max Planck Institute for Demographic Research; 2010.\nEayres D, Williams ES. Evaluation of methodologies for small area life expectancy estimation. J Epidemiol Community Health. 2004;58(3):243–9.\nOffice for National Statistics. Life expectancy at birth: methodological options for small populations. UK: Office for National Statistics (ONS); 2003.\nAylin P, Bottle A. Are hospital league tables calculated correctly? A commentary. Public Health. 2007;121:905–6.\nMarshall EC, Spiegelhalter DJ. Reliability of league tables of in vitro fertilisation clinics: retrospective analysis of live birth rates. BMJ. 1998;316(7146):1701–4 discussion 5.\nSzklo M, Nieto FJ. Epidemiology: Beyond the Basics. Third ed. MA, USA: Jones & Bartlett Learning; 2014.\nWakefield J. Disease mapping and spatial regression with count data. Biostatistics. 2007;8(2):158–83.\nAuchincloss AH, Gebreab SY, Mair C, Diez Roux AV. A review of spatial methods in epidemiology, 2000-2010. Annu Rev Public Health. 2012;33:107–22.",{"VOID":1183},"10.1186\u002Fs12963-020-00210-7","https:\u002F\u002Fpophealthmetrics.biomedcentral.com\u002Farticles\u002F10.1186\u002Fs12963-020-00210-7",[1186,1210,1225,1238],{"id":1187,"sortIndex":32,"researcher":28,"roles":1188,"affiliations":1189,"properties":1207,"displayName":1209,"givenName":28,"familyName":28},"54e6307a-f868-4cc8-a821-672cf7990f32",[975],[1190,1198],{"id":1191,"sortIndex":32,"affiliation":1192,"properties":28},"379ab88c-dd2d-49de-aa2d-039adf1eeccb",{"id":1191,"createTime":28,"updateTime":28,"relativeEntities":1193,"slug":28,"properties":1194,"entityType":28,"verifyStatus":28,"verifyTime":28,"verifyNote":28,"languages":28,"translateLanguages":28,"viewCount":28,"url":28,"parentIds":1197,"statistic":28},[],{"title":1195},{"VI":1196},"Department of Health Policy and Management, Seoul National University College of Medicine, Seoul, South Korea",[],{"id":1199,"sortIndex":40,"affiliation":1200,"properties":1206},"d2276b44-fadc-4d25-9937-869bf730f3c5",{"id":1199,"createTime":28,"updateTime":28,"relativeEntities":1201,"slug":28,"properties":1202,"entityType":28,"verifyStatus":28,"verifyTime":28,"verifyNote":28,"languages":28,"translateLanguages":28,"viewCount":28,"url":28,"parentIds":1205,"statistic":28},[],{"title":1203},{"VI":1204},"Department of Health Policy and Management, Jeju National University College of Medicine and Graduate School of Medicine, Jeju, South Korea",[],{},{"title":1208},{"VI":1209},"Ikhan Kim",{"id":1211,"sortIndex":40,"researcher":28,"roles":1212,"affiliations":1213,"properties":1222,"displayName":1224,"givenName":28,"familyName":28},"4f3c1d4f-3599-4519-99b7-7b319c8bf21b",[975],[1214],{"id":1215,"sortIndex":32,"affiliation":1216,"properties":28},"5798c0ce-7e9a-4767-a6d8-b0713bb62f1c",{"id":1215,"createTime":28,"updateTime":28,"relativeEntities":1217,"slug":28,"properties":1218,"entityType":28,"verifyStatus":28,"verifyTime":28,"verifyNote":28,"languages":28,"translateLanguages":28,"viewCount":28,"url":28,"parentIds":1221,"statistic":28},[],{"title":1219},{"VI":1220},"Institue of Health Policy and Management, Seoul National University Medical Research Center, Seoul, South Korea",[],{"title":1223},{"VI":1224},"Hwa-Kyung Lim",{"id":1226,"sortIndex":123,"researcher":28,"roles":1227,"affiliations":1228,"properties":1235,"displayName":1237,"givenName":28,"familyName":28},"4e04e0a7-7da3-4efd-9760-32562e15b472",[975],[1229],{"id":1191,"sortIndex":32,"affiliation":1230,"properties":28},{"id":1191,"createTime":28,"updateTime":28,"relativeEntities":1231,"slug":28,"properties":1232,"entityType":28,"verifyStatus":28,"verifyTime":28,"verifyNote":28,"languages":28,"translateLanguages":28,"viewCount":28,"url":28,"parentIds":1234,"statistic":28},[],{"title":1233},{"VI":1196},[],{"title":1236},{"VI":1237},"Hee-Yeon Kang",{"id":1239,"sortIndex":42,"researcher":28,"roles":1240,"affiliations":1241,"properties":1255,"displayName":1257,"givenName":28,"familyName":28},"c5d98891-52ef-4257-9c09-282c78fbc6a4",[975],[1242,1248],{"id":1191,"sortIndex":32,"affiliation":1243,"properties":28},{"id":1191,"createTime":28,"updateTime":28,"relativeEntities":1244,"slug":28,"properties":1245,"entityType":28,"verifyStatus":28,"verifyTime":28,"verifyNote":28,"languages":28,"translateLanguages":28,"viewCount":28,"url":28,"parentIds":1247,"statistic":28},[],{"title":1246},{"VI":1196},[],{"id":1215,"sortIndex":40,"affiliation":1249,"properties":1254},{"id":1215,"createTime":28,"updateTime":28,"relativeEntities":1250,"slug":28,"properties":1251,"entityType":28,"verifyStatus":28,"verifyTime":28,"verifyNote":28,"languages":28,"translateLanguages":28,"viewCount":28,"url":28,"parentIds":1253,"statistic":28},[],{"title":1252},{"VI":1220},[],{},{"title":1256},{"VI":1257},"Young-Ho Khang",{"url":1184,"publisher":1259,"properties":1306},{"id":868,"createTime":869,"updateTime":870,"relativeEntities":1260,"slug":872,"properties":1261,"entityType":25,"verifyStatus":883,"verifyTime":28,"verifyNote":28,"languages":28,"translateLanguages":28,"viewCount":40,"subjectFields":1266,"manageAffiliations":1275,"indexDatabases":1286,"url":942,"thumbnailPath":28,"statistic":1301,"gsStatistic":28,"type":28,"analyzePriority":28},[],{"country":1262,"eissn":1263,"issn":1264,"title":1265},{"VOID":875},{"VOID":877},{"VOID":877},{"EN":880},[1267,1271],{"id":886,"createTime":28,"updateTime":28,"relativeEntities":1268,"label":1269,"description":1270,"parentId":28,"standard":28,"scholarHubFieldId":28},[],{"EN":889},{},{"id":892,"createTime":28,"updateTime":28,"relativeEntities":1272,"label":1273,"description":1274,"parentId":28,"standard":28,"scholarHubFieldId":28},[],{"EN":895},{},[1276,1281],{"id":899,"createTime":28,"updateTime":28,"relativeEntities":1277,"slug":28,"properties":1278,"entityType":28,"verifyStatus":28,"verifyTime":28,"verifyNote":28,"languages":28,"translateLanguages":28,"viewCount":28,"url":28,"parentIds":1280,"statistic":28},[],{"title":1279},{"EN":903},[],{"id":906,"createTime":28,"updateTime":28,"relativeEntities":1282,"slug":28,"properties":1283,"entityType":28,"verifyStatus":28,"verifyTime":28,"verifyNote":28,"languages":28,"translateLanguages":28,"viewCount":28,"url":28,"parentIds":1285,"statistic":28},[],{"title":1284},{"EN":910},[],[1287,1294],{"id":914,"indexDatabase":1288,"url":920,"indexYears":921,"academicFieldIds":1293,"indexDatabaseRanking":925},{"id":775,"createTime":28,"updateTime":28,"relativeEntities":1289,"label":1290,"description":1291,"key":781,"publicationTags":1292,"standard":28},[],{"EN":778,"VI":778},{"EN":778,"VI":780},[783],[923,924],{"id":927,"indexDatabase":1295,"url":939,"indexYears":28,"academicFieldIds":1300,"indexDatabaseRanking":28},{"id":929,"createTime":28,"updateTime":28,"relativeEntities":1296,"label":1297,"description":1298,"key":936,"publicationTags":1299,"standard":28},[],{"EN":932,"VI":932},{"EN":934,"VI":935},[938,813],[941],{"impactFactor":32,"impactFactorByYear":1302,"i10Index":32,"i10IndexLast5Year":32,"totalPublication":945,"totalPublicationByYear":1303,"totalCitation":32,"totalCitationByYear":1304,"totalCitationPerPublication":32,"totalCitationPerPublicationByYear":1305,"hindexLast5Year":32,"hindex":32},{},{"2003":48,"2004":123,"2005":48,"2006":49,"2007":145,"2008":48,"2009":146,"2010":129,"2011":150,"2012":126,"2013":47,"2014":146,"2015":199,"2016":136,"2017":122,"2018":127,"2019":47,"2020":136,"2021":134,"2022":199,"2023":126},{},{},{"pages":1307,"volume":1309},{"VOID":1308},"1-14",{"VOID":1310},"18","2020-07-03",2020,[938,925],{"id":1315,"createTime":1316,"updateTime":1316,"relativeEntities":1317,"slug":28,"properties":1318,"entityType":968,"verifyStatus":883,"verifyTime":28,"verifyNote":28,"languages":28,"translateLanguages":28,"viewCount":32,"primaryUrl":1327,"fullTextUrl":28,"authors":1328,"publicationType":1023,"publisherRelationship":1372,"citationCount":28,"citationInfo":28,"publishDate":1425,"publishYear":1426,"citationAnalyzeStatus":883,"lastCitationAnalyze":28,"indexDatabases":1427,"openAccess":28,"references":28,"isForceReanalyzing":1080},"02b00a08-6926-4026-b599-08b020e4b64a","2023-12-07T05:33:51.240+00:00",[],{"abstract":1319,"title":1321,"references":1323,"doi":1325},{"EN":1320},"Because people care about their weight relative to peers and society, obesity inequality plays a role in explaining obesity incidence and the impacts of being obese on subjective well-being. While the increase in obesity prevalence and mean body mass index (BMI) is well documented, the measurement of distributional changes and corresponding obesity inequality is yet to be fully explored. The present study analyzed BMI data for adults aged 20 to 74 from the National Health and Nutritional Examination Survey (NHANES) I (1971-1974), II (1976-1980), III (1988-1994), and continuous NHANES (1999-2014). We applied tools developed to measure income inequality to analyze the inter-temporal variation in the BMI distribution among US adults. Using stochastic dominance tests, we construct partial orderings on cumulative BMI distributions during the study period. Shapley decompositions and inequality indices are employed to quantify the source and extent of temporal variation and decompose the inequality into within and between-group components considering age, gender, and race. The BMI distribution of each NHANES study first-order stochastically dominated the BMI distribution of the previous wave from 1971-1974 to 2003-2006, whereas more recent comparisons failed to reject the null hypothesis of non-dominance. The Shapley decomposition analysis revealed that horizontal shifts of BMI distributions accounted for a majority of the increase in obesity prevalence since 1988-1991. Especially in recent years when the rate of obesity growth has slowed down, the contribution of the redistribution component dropped significantly and even became negative between 2007-2010 and 2011-2014. The inequality indexes consistently show a worsening of obesity inequality from the mid-1970s to the mid-2000s regardless of population subgroups, and this disproportionate shift of the BMI distribution is unlikely to be a result of a changing ethnic composition of the US population. Our findings demonstrate that seemingly similar increases in obesity prevalence can be accompanied by very different patterns of distribution change. We find that the early phase of the obesity epidemic in the US was largely driven by increasing skewness, whereas more recent growth is a population-wide experience, regardless of demographic characteristics. Increasing morbid obesity certainly played an important role in the initial phase of the epidemic, but more recently the BMI distribution has largely horizontally shifted to the right.",{"EN":1322},"Measuring and tracking obesity inequality in the United States: evidence from NHANES, 1971-2014",{"VOID":1324},"Flegal KM, Carroll MD, Kuczmarski RJ, Johnson CL. Overweight and obesity in the United States: Prevalence and trends, 1960-1994. Int J Obes Relat Metab Disord. 1998;22:39–47.\nFlegal KM, Carroll MD, Ogden CL, Curtin LR. Prevalence and trends in obesity among US adults, 1999-2008. JAMA. 2010;303:235–41.\nKuczmarski RJ, Flegal KM, Campbell SM, Johnson CL. Increasing prevalence of overweight among US adults: The National Health and Nutrition Examination Surveys, 1960 to 1991. JAMA. 1994;272:205–11.\nOgden CL, Carroll MD. Prevalence of overweight, obesity, and extreme obesity among adults: United States, trends 1960–1962 through 2007–2008. National Cent Health Stat. 2010;6:1–6.\nOgden CL, Carroll MD, Kit BK, Flegal KM. Prevalence of childhood and adult obesity in the United States, 2011-2012. JAMA. 2014;311:806–14.\nWang Y, Beydoun MA. The obesity epidemic in the United States - gender, age, socioeconomic, racial\u002Fethnic, and geographic characteristics: A systematic review and meta-regression analysis. Epidemiol Rev. 2007;29:6–28.\nChristakis NA, Fowler JH. The spread of obesity in a large social network over 32 years. N Engl J Med. 2007;357:370–9.\nOgden CL, Carroll MD, Flegal KM. High body mass index for age among US children and adolescents, 2003-2006. JAMA. 2008;299:2401–5.\nSkelton JA, Cook SR, Auinger P, Klein JD, Barlow SE. Prevalence and trends of severe obesity among US children and adolescents. Acad Pediatr. 2009;9:322–9.\nSturm R. Increases in clinically severe obesity in the United States, 1986-2000. Arch Intern Med. 2003;163:2146–8.\nSturm R. Increases in morbid obesity in the USA: 2000–2005. Public Health. 2007;121:492–6.\nFlegal KM, Troiano RP. Changes in the distribution of body mass index of adults and children in the US population. Int J Obes Relat Metab Disord. 2000;24:807–18.\nBurke MA, Heiland F. Social dynamics of obesity. Econ Inq. 2007;45:571–91.\nOswald AJ, Powdthavee N. Book review feature: Two reviews of the challenge of affulence: Self‐control and well‐being in the United States and Britain since 1950. Econ J. 2007;117:F441–54.\nEtilé F. Social norms, ideal body weight and food attitudes. Health Econ. 2007;16:945–66.\nDragone D, Savorelli L. 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A decomposition analysis of regional poverty in Russia. Rev Dev Econ. 2005;9:25–46.\nShorrocks AF. Decomposition procedures for distributional analysis: A unified framework based on the Shapley value. J Econ Inequal. 2013;11:99–126.\nDeurenberg P. Universal cut-off BMI points for obesity are not appropriate. Br J Nutr. 2001;85:135–6.\nJolliffe D. The income gradient and distribution-sensitive measures of overweight in the US. National Poverty Center Working Paper Series 07-27 [http:\u002F\u002Fageconsearch.umn.edu\u002Fbitstream\u002F25677\u002F1\u002Fcp060622.pdf]. Accessed 26 Nov 2013.\nBurkhauser RV, Beyond CJ, BMI. The value of more accurate measures of fatness and obesity in social science research. J Health Econ. 2008;27:519–29.\nEzzati M, Martin H, Skjold S, Vander Hoorn S, Murray CJ. Trends in national and state-level obesity in the USA after correction for self-report bias: Analysis of health surveys. J R Soc Med. 2006;99:250–7.\nGorber SC, Tremblay M, Moher D, Gorber B. A comparison of direct vs. self‐report measures for assessing height, weight and body mass index: A systematic review. Obes Rev. 2007;8:307–26.\nJohnson CL, Paulose-Ram R, Ogden CL, Carroll MD, Kruszan-Moran D, Dohrmann SM, et al. National health and nutrition examination survey. Analytic guidelines, 1999-2010. Vital Health Stat. 2013;2:161.\nNational Center for Health Statistics. The Third National Health and Nutrition Examination Survey, NHANES III (1988–1994). http:\u002F\u002Fwww.cdc.gov\u002Fnchs\u002Fnhanes\u002Fnh3data.htm. Accessed on Feb 01 2016.\nMohadjer L, Montaquila J, Waksberg J, Bell B, James P, Flores-Cervantes I, Montes M. National Health and Nutrition Examination Survey III, Weighting and Estimation Methodology. Hyattsville, MD: National Center for Health Statistics; 1996.\nDavidson R, Duclos JY. Statistical inference for stochastic dominance and for the measurement of poverty and inequality. Econometrica. 2000;68:1435–64.\nAnderson G. Nonparametric tests of stochastic dominance in income distributions. Econometrica. 1996;64:1183–93.\nSahn DE, Stifel DC. Poverty comparisons over time and across countries in Africa. World Dev. 2000;28:2123–55.\nSahn DE, Stifel DC. Robust comparisons of malnutrition in developing countries. Am J Agr Econ. 2002;84:716–35.\nFoster JE, Shorrocks AF. Poverty orderings. Econometrica. 1988;56:173–7.\nSahn DE, Stifel DC, Younger SD. Inter-temporal changes in welfare: Preliminary results from nine African countries. CFNPP Working Paper No. 94 [http:\u002F\u002Fpdf.usaid.gov\u002Fpdf_docs\u002Fpnacm776.pdf]. Accessed 01 Dec 2013.\nDatt G, Ravallion M. Growth and redistribution components of changes in poverty measures: A decomposition with applications to Brazil and India in the 1980s. J Dev Econ. 1992;38:275–95.\nKaragiannis E, Kovacevic M. A method to calculate the Jackknife variance estimator for the Gini coefficient. 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Pers Psychol. 1999;52:969–1016.\nCarpenter KM, Hasin DS, Allison DB, Faith MS. Relationships between obesity and DSM-IV major depressive disorder, suicide ideation, and suicide attempts: Results from a general population study. Am J Public Health. 2000;90:251–7.\nFriedman MA, Brownell KD. Psychological correlates of obesity: Moving to the next research generation. Psychol Bull. 1995;117:3–20.\nIstvan J, Zavela K, Weidner G. Body weight and psychological distress in NHANES I. Int J Obes Relat Metab Disord. 1992;16:999–1003.\nOnyike CU, Crum RM, Lee HB, Lyketsos CG, Eaton WW. Is obesity associated with major depression? Results from the Third National Health and Nutrition Examination Survey. Am J Epidemiol. 2003;158:1139–47.\nRadloff LS. The CES-D scale a self-report depression scale for research in the general population. Appl Psych Meas. 1977;1:385–401.\nWang SS, Brownell KD, Wadden TA. The influence of the stigma of obesity on overweight individuals. Int J Obes. 2004;28:1333–7.",{"VOID":1326},"10.1186\u002Fs12963-016-0081-5","http:\u002F\u002Fpophealthmetrics.biomedcentral.com\u002Farticles\u002F10.1186\u002Fs12963-016-0081-5",[1329,1344,1359],{"id":1330,"sortIndex":32,"researcher":28,"roles":1331,"affiliations":1332,"properties":1341,"displayName":1343,"givenName":28,"familyName":28},"657c6971-ef98-4499-87a6-d0ccb8f8a60d",[975],[1333],{"id":1334,"sortIndex":32,"affiliation":1335,"properties":28},"a3e6c535-43e1-4400-822d-95b351440a6a",{"id":1334,"createTime":28,"updateTime":28,"relativeEntities":1336,"slug":28,"properties":1337,"entityType":28,"verifyStatus":28,"verifyTime":28,"verifyNote":28,"languages":28,"translateLanguages":28,"viewCount":28,"url":28,"parentIds":1340,"statistic":28},[],{"title":1338},{"VI":1339},"Department of Financial Planning, Housing, and Consumer Economics, University of Georgia, Athens, USA",[],{"title":1342},{"VI":1343},"Tae-Young Pak",{"id":1345,"sortIndex":40,"researcher":28,"roles":1346,"affiliations":1347,"properties":1356,"displayName":1358,"givenName":28,"familyName":28},"05b46335-9060-4b6b-b3bc-a07964101fbc",[975],[1348],{"id":1349,"sortIndex":32,"affiliation":1350,"properties":28},"7f39ac62-6604-487a-96ea-a417d45ad77a",{"id":1349,"createTime":28,"updateTime":28,"relativeEntities":1351,"slug":28,"properties":1352,"entityType":28,"verifyStatus":28,"verifyTime":28,"verifyNote":28,"languages":28,"translateLanguages":28,"viewCount":28,"url":28,"parentIds":1355,"statistic":28},[],{"title":1353},{"EN":1354},"Department of Agricultural and Applied Economics, University of Georgia, Athens, USA",[],{"title":1357},{"VI":1358},"Susana 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number of centenarians is rapidly increasing in Europe. In Portugal, it has almost tripled over the last 10 years and constitutes one of the fastest-growing segments of the population. This paper aims to describe the health and sociodemographic characteristics of Portuguese centenarians as given in the 2011 census and to identify sex differences. All persons living in Portugal mainland and Madeira and Azores islands aged 100 years old at the time of the 2011 census (N = 1,526) were considered. Measures include sociodemographic characteristics and perceived difficulties in six functional domains of basic actions (seeing, hearing, walking, cognition, self-care, and communication) as assessed by the Portuguese census official questionnaires. Most centenarians are women (82.1 %), widowed (82 %), never attended school (51 %), and live in private households (71 %). The majority show major constraints in seeing (67.4 %), hearing (72.3 %), and particularly in their mobility (83.7 % cannot\u002Fhave great difficulties in walking\u002Fclimbing stairs and 80.7 % in bathing\u002Fdressing). In general, a better outcome was found for reported memory\u002Fconcentration and understanding, with 39.1 % and 42.5 % presenting no or mild difficulty, respectively. Top-level functioning (no\u002Fmild difficulties in all dimensions concurrently) was observed in a minority of cases (5.96 %). Women outnumber men by a ratio of 4.6, and statistically significant differences were found between men and women for all health-related variables, with women presenting a higher percentage of difficulties. Portuguese centenarians experience great difficulties in sensory domains and basic daily living activities, and to a lesser extent in cognition and communication. The obtained profile, though self-reported, is important in considering the potential of social and family participation of this population regardless of their functional and sensory limitations. Based on the observed differences between men and women, gender-specific and gender-sensitive interventions are recommended in order to acknowledge women’s worse overall condition.",{"EN":1438},"Health profile of centenarians in Portugal: a census-based approach",{"VOID":1440},"United Nations, Department of Economic and Social Affairs, Population Division. 2013. New York: World Population Ageing 2013. ST\u002FESA\u002FSER.A\u002F348.\nPoon L, Cheung SLK. Centenarian research in the past two decades. Asian J Gerontol Geriatr. 2012;7:8–13.\nWilkinson T, Sainsbury R. A census-based comparison of centenarians in New Zealand with those in the United States. JAGS. 1998;46:488–91.\nRichmond RL, Law J, Kay-Lambkin F. Physical, mental, and cognitive function in a convenience sample of centenarians in Australia. JAGS. 2011;59:1080–6.\nRochon PA, Gruneir A, Wu W, et al. Demographic characteristics and healthcare use of centenarians: a population-based cohort study. JAGS. 2014;62:86–93.\nWastesson JW, Parker MG, Fastbom J, Thorslund M, Johnell K. Drug use in centenarians compared with nonagenarians and octogenarians in Sweden: a nationwide register-based study. Age Ageing. 2012;41(2):218–24.\nInstituto Nacional de Estatística, INE. População residente por Local de residência, Sexo e Grupo etário (Decenal). 2001. http:\u002F\u002Fwww.ine.pt\u002Fxportal\u002Fxmain?xpid=INE&xpgid=ine_indicadores&indOcorrCod=0002192&contexto=bd&selTab=tab2. Accessed September 6, 2014.\nInstituto Nacional de Estatística, INE População residente por Local de residência, Sexo e Grupo etário (Decenal). 2011. http:\u002F\u002Fwww.ine.pt\u002Fxportal\u002Fxmain?xpid=INE&xpgid=ine_indicadores&indOcorrCod=0006368&contexto=bd&selTab=tab2. Accessed September 6, 2014.\nRibeiro O, Araújo L, Teixeira L, Brandão D, Duarte N, Paúl C. Oporto Centenarian Study. In: Pachana NA, editor. Encyclopedia of Geropsychology, doi 10.1007\u002F978-981-287-080-3_141-1.\nMadans JH, Loeb ME, Altman BM. Measuring disability and monitoring the UN Convention on the Rights of Persons with Disabilities: the work of the Washington Group on Disability Statistics. BMC Public Health. 2011;11 Suppl 4:S4.\nInstituto Nacional de Estatística. INE Censos 2011 – Preparação, metodologia e conceitos. Lisboa: INE; 2013a.\nInstituto Nacional de Estatística. INE Inquérito de Qualidade dos Censos 2011 – Metodologia e Resultados. Lisboa: INE; 2013b.\nLopes A. New approaches to familism in the management of social policy for old age in Portugal. In: Troisi J, Von-Kondratowitz H, editors. Ageing in the Mediterranean. Chicago: Policy Press; 2013. p. 215–34.\nJopp D, Boerner K, Ribeiro O. & Rott C. Life at 100: An international research agenda for centenarian studies. J Aging Soc Policy. (in press)\nChristensen K, Thinggaard M, Oksuzyan A, Steenstrup T, Andersen-Ranberg K, Jeune B, McGue M, Vaupel JW. Physical and cognitive functioning of people older than 90 years: a comparison of two Danish cohorts born 10 years apart. Lancet. 2013;382:1507–13.\nYi Z, Yuzhi L, George LK. Gender differentials of the oldest old in China. Res Aging. 2003;25:65–80.\nTigani X, Artemiadis AK, Alexopoulos EC, et al. Gender differences in Greek centenarians. A cross-sectional nation-wide study, examining multiple socio-demographic and personality factors and health locus of control. BMC Geriatr. 2011;11:87.\nHazra NC, Dregan A, Jackson S, Gulliford MC. Differences in health at age 100 according to sex: Population-based cohort study of centenarians using electronic health records. JAGS. 2015. doi:10.1111\u002Fjgs.13484.\nDavidson P, DiGiacomo M, McGrath S. The feminization of aging: how will this impact on health outcomes and services? Health Care Women Int. 2011;32:1031–45.\nFernandes A, Parelman J, Mateus C. Health and Health Care in Portugal. Does Gender Matter? Lisbon: Instituto Nacional de Saúde Doutor Ricardo Jorge; 2010.\nDarviri C, Pelekasis P, Galanakis M, Tigani X. Demographic and anthropometric variables related to longevity: results from a Greek Centenarians’ study. J Basic Appl Sci. 2015;11:381–8.\nWorld Health Organization. Active Aging: A Policy Framework. Geneva: WHO; 2002.",{"VOID":1442},"10.1186\u002Fs12963-016-0083-3","https:\u002F\u002Fpophealthmetrics.biomedcentral.com\u002Farticles\u002F10.1186\u002Fs12963-016-0083-3",[1445,1460,1473,1495],{"id":1446,"sortIndex":32,"researcher":28,"roles":1447,"affiliations":1448,"properties":1457,"displayName":1459,"givenName":28,"familyName":28},"5482dd54-3fc1-4615-9db9-2c13168e1326",[975],[1449],{"id":1450,"sortIndex":32,"affiliation":1451,"properties":28},"f4aaebf0-7c29-4100-bcf0-96be44d87a9d",{"id":1450,"createTime":28,"updateTime":28,"relativeEntities":1452,"slug":28,"properties":1453,"entityType":28,"verifyStatus":28,"verifyTime":28,"verifyNote":28,"languages":28,"translateLanguages":28,"viewCount":28,"url":28,"parentIds":1456,"statistic":28},[],{"title":1454},{"VI":1455},"Institute of Biomedical Sciences Abel Salazar (UNIFAI and CINTESIS), University of Porto, Porto, Portugal",[],{"title":1458},{"VI":1459},"Oscar Ribeiro",{"id":1461,"sortIndex":40,"researcher":28,"roles":1462,"affiliations":1463,"properties":1470,"displayName":1472,"givenName":28,"familyName":28},"6a642f5d-b27f-4762-8d6a-e933be705bc5",[975],[1464],{"id":1450,"sortIndex":32,"affiliation":1465,"properties":28},{"id":1450,"createTime":28,"updateTime":28,"relativeEntities":1466,"slug":28,"properties":1467,"entityType":28,"verifyStatus":28,"verifyTime":28,"verifyNote":28,"languages":28,"translateLanguages":28,"viewCount":28,"url":28,"parentIds":1469,"statistic":28},[],{"title":1468},{"VI":1455},[],{"title":1471},{"VI":1472},"Laetitia 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CI&DETS) , Viseu, Portugal",[],{},{"title":1493},{"VI":1494},"Lia Araújo",{"id":1496,"sortIndex":42,"researcher":28,"roles":1497,"affiliations":1498,"properties":1505,"displayName":1507,"givenName":28,"familyName":28},"28363148-d9db-48a2-92a3-9a4ca4bdb385",[975],[1499],{"id":1450,"sortIndex":32,"affiliation":1500,"properties":28},{"id":1450,"createTime":28,"updateTime":28,"relativeEntities":1501,"slug":28,"properties":1502,"entityType":28,"verifyStatus":28,"verifyTime":28,"verifyNote":28,"languages":28,"translateLanguages":28,"viewCount":28,"url":28,"parentIds":1504,"statistic":28},[],{"title":1503},{"VI":1455},[],{"title":1506},{"VI":1507},"Constança 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2004, the media repeatedly reported water pollution and \"cancer villages\" along the Huai River in China. Due to the lack of death records for more than 30 years, a retrospective survey of causes of death using verbal autopsy was carried out to investigate cancer rates in this area. An epidemiologic study was designed to compare numbers of deaths and causes of death between the study areas with water pollution and the control areas without water pollution in S County and Y District in 2005. The study areas were selected based on the distribution of the Huai River and its tributaries. Verbal autopsy was used to assist cause of death (COD) diagnoses and to verify mortality rates. The standard mortality rates (SMRs) of cancer in the study area were compared with those in the control areas. In order to verify the difference between mortality rates due to cancers in the study and the control areas, patients who reported having cancer in the survey received a second diagnosis by national and provincial oncologists with pathological and laboratory examinations. Comparisons were made to determine if differential cancer prevalence rates in the study and control areas were similar to the difference in mortality due to cancer in these study and control areas. Mortality rates of cancers in study and control areas were also compared with national statistics for the rural population of China. Over five years, 3,301 deaths were identified, including 1,158 cancer deaths. The annual average SMRs of cancer in the study areas of S County and Y District were 277.8\u002F100,000 and 223.6\u002F100,000, respectively, which is three to four times higher than those in the control areas. In addition, a total of 626 cases of cancer in the study and control areas were confirmed. The prevalence rates of cancer were 545\u002F100,000 and 128.1\u002F100,000 per year in the study and control areas in S County, respectively, and 440.9\u002F100,000 and 200\u002F100,000 per year in the study and control areas in Y District, respectively. The mortality and prevalence rates of digestive cancers were higher in the study areas than the control areas. In 2000, the SMR for cancer in rural areas nationwide was 120.9\u002F100,000, and in study areas in S County and Y District, the excess rates of deaths were 184\u002F100,000 and 138.8\u002F100,000, respectively. The death rates of digestive cancers were much higher in the study areas of S County and Y District. The patterns for between-area differences in prevalence and mortality rates of cancer were similar. Verbal autopsy is shown to be a useful tool in retrospective mortality surveys in low-resource areas with limited access to health care.",{"EN":1572},"Epidemiologic application of verbal autopsy to investigate the high occurrence of cancer along Huai River Basin, China",{"VOID":1574},"accessed 2004-11-15, [http:\u002F\u002Fah.anhuinews.com\u002Fsystem\u002F2004\u002F11\u002F15\u002F001046066.shtml]\nThe study on Cancer death survey in Chinese population. Cancer preventive and control office of Ministry of Health. edition. Beijing (China): People's Health Press; 1979.\nVerbal autopsy standards: Ascertaining and attributing cause of death World Health Organisation edition; 2007.\nYang Gonghuan, Rao Chalapati, Jiemin Ma, Wang Lijun, Wan Xia, Guillermo Dubrovsky, Lopez AD: Validation of verbal autopsy procedures for adult deaths in China. International Journal of Epidemiology 2006, (35):741-748.\nRao Chalapati, Yang Gonghuan, Jianping Hu, Jiemin Ma, Wan Xia, Lopez AD: Validation of cause-of-death statistics in urban China. International Journal of Epidemiology 2007, (36):642-651.\nLijun Wang, Gonghuan Yang, Jiemin Ma, Chalapati Rao, Xia Wan, Dubrovsky Guillermo, Lopez AD: Evaluation of the quality of cause of death statistics in rural China using verbal autopsies. Journal of Epidemiology Community Health 2007, (61):519-526.\nLemeshow HJDS, Klar J, Lwanga SK: Adequacy of Sample Size in Health Studies. Fudan Univerisity Press; 2010.\nAMMP-Tanzania: Adult mortality and morbidity project.[http:\u002F\u002Fwww.Ncl.ac.uk\u002Fammp\u002Ftools_methods\u002Findex.html]\nYang Gonghuan, Zeng Guang, Zheng Xiwen, Etc: Selection of the second stage of DSP system and its representative. Chin J Epidemiol. Chinese Journal of Epidemiology 1992,13(4):79-81.\nTabulation on the 2000 population census of the people's republic of China. Population census office under the State council;Dept. of population statistics, Social, Science and Technology Statistics of National Bureau of Statistics of China edition. Beijing (China): China Statistics Press; 2002.\nWang G: A new significance test for standardized rate: an application of CPD in comprehensive evaluation (1). Chinese Journal of Hospital Statistics 1997,4(1):28-29.\nKanungo S, Tsuzuki A, Deen JL, Lopez AL, Rajendran K, Manna B, Sur D, Kim DR, Gupta VK, Ochiai RL, et al.: Use of verbal autopsy to determine mortality patterns in an urban slum in Kolkata, India. Bull World Health Organ 2010,88(9):667-674. 10.2471\u002FBLT.09.073742\nFantahun M, Fottrell E, Berhane Y, Wall S, Hogberg U, Byass P: Assessing a new approach to verbal autopsy interpretation in a rural Ethiopian community: the InterVA model. Bull World Health Organ 2006,84(3):204-210. 10.2471\u002FBLT.05.028712\nQuigley MA, Chandramohan D, Setel P, Binka F, Rodrigues LC: Validity of data-derived algorithms for ascertaining causes of adult death in two African sites using verbal autopsy. Trop Med Int Health 2000,5(1):33-39. 10.1046\u002Fj.1365-3156.2000.00517.x\nMathers CD, Sadana R, Salomon JA, Murray CJ, Lopez AD: Healthy life expectancy in 191 countries, 1999. Lancet 2001,357(9269):1685-1691. 10.1016\u002FS0140-6736(00)04824-8\nGajalakshmi V, Peto R, Kanaka S, Balasubramanian S: Verbal autopsy of 48 000 adult deaths attributable to medical causes in Chennai (formerly Madras), India. BMC Public Health 2002, 2: 7. 10.1186\u002F1471-2458-2-7\nGajalakshmi V, Peto R: Verbal autopsy of 80,000 adult deaths in Tamilnadu, South India. BMC Public Health 2004, 4: 47. 10.1186\u002F1471-2458-4-47\nHuong DL, Minh HV, Byass P: Applying verbal autopsy to determine cause of death in rural Vietnam. Scand J Public Health Suppl 2003, 62: 19-25.\nSoleman N, Chandramohan D, Shibuya K: Verbal autopsy: current practices and challenges. Bull World Health Organ 2006,84(3):239-245. 10.2471\u002FBLT.05.027003\nXia Wan, Zhou MG, Wang LJ, Chen AP, Yang GH: Using the general growth balance method and synthetic extinct generations method to evaluate the underreporting of death reporting in Disease Surveillance Points from 1991 to 1998. Chinese Journal of Epidemiology 2009,39(3):927-932.\nJo J, M KK, Blasi A, Baydur A, Juarez R: Elucidating nonlinear baroreflex and respiratory contributions to heart rate variability in obstructive sleep apnea syndrome. Conf Proc IEEE Eng Med Biol Soc 2005, 4: 4430-4433.\nA series of reports on Chinese disease surveillance (10) - 1999 annual report on Chinese disease surveillance Volume 35. Dept. of Control Disease of MOH, Chinese Academy of Preventive Medicine; 1999.",{"VOID":1576},"10.1186\u002F1478-7954-9-37","https:\u002F\u002Fpophealthmetrics.biomedcentral.com\u002Farticles\u002F10.1186\u002F1478-7954-9-37",[1579,1594,1609,1622,1646],{"id":1580,"sortIndex":32,"researcher":28,"roles":1581,"affiliations":1582,"properties":1591,"displayName":1593,"givenName":28,"familyName":28},"3492cc8c-a486-4ab1-96fc-54ec5066fb8b",[975],[1583],{"id":1584,"sortIndex":32,"affiliation":1585,"properties":28},"9f07cc33-7128-4384-a698-65b3ac8f41e0",{"id":1584,"createTime":28,"updateTime":28,"relativeEntities":1586,"slug":28,"properties":1587,"entityType":28,"verifyStatus":28,"verifyTime":28,"verifyNote":28,"languages":28,"translateLanguages":28,"viewCount":28,"url":28,"parentIds":1590,"statistic":28},[],{"title":1588},{"VI":1589},"Institute of Basic Medical Sciences of Chinese Academy of Medical Sciences\u002FSchool of Basic Medicine of Peking Union Medical College, Beijing, China",[],{"title":1592},{"VI":1593},"Xia Wan",{"id":1595,"sortIndex":40,"researcher":28,"roles":1596,"affiliations":1597,"properties":1606,"displayName":1608,"givenName":28,"familyName":28},"3976511f-b378-4120-8be6-c726caf892ae",[975],[1598],{"id":1599,"sortIndex":32,"affiliation":1600,"properties":28},"1433c99b-b9cf-4b45-9a7f-de921895d433",{"id":1599,"createTime":28,"updateTime":28,"relativeEntities":1601,"slug":28,"properties":1602,"entityType":28,"verifyStatus":28,"verifyTime":28,"verifyNote":28,"languages":28,"translateLanguages":28,"viewCount":28,"url":28,"parentIds":1605,"statistic":28},[],{"title":1603},{"EN":1604},"Chinese Center For Disease Control And Prevention, Beijing, China",[],{"title":1607},{"VI":1608},"Maigeng Zhou",{"id":1610,"sortIndex":123,"researcher":28,"roles":1611,"affiliations":1612,"properties":1619,"displayName":1621,"givenName":28,"familyName":28},"0940f693-f689-406d-ac56-31901acaeaff",[975],[1613],{"id":1599,"sortIndex":32,"affiliation":1614,"properties":28},{"id":1599,"createTime":28,"updateTime":28,"relativeEntities":1615,"slug":28,"properties":1616,"entityType":28,"verifyStatus":28,"verifyTime":28,"verifyNote":28,"languages":28,"translateLanguages":28,"viewCount":28,"url":28,"parentIds":1618,"statistic":28},[],{"title":1617},{"EN":1604},[],{"title":1620},{"VI":1621},"Zhuang 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Diego",[],{"id":1635,"sortIndex":40,"affiliation":1636,"properties":1642},"9cfbdb33-ef0b-4f8f-85dd-82c28dedc7c0",{"id":1635,"createTime":28,"updateTime":28,"relativeEntities":1637,"slug":28,"properties":1638,"entityType":28,"verifyStatus":28,"verifyTime":28,"verifyNote":28,"languages":28,"translateLanguages":28,"viewCount":28,"url":28,"parentIds":1641,"statistic":28},[],{"title":1639},{"VI":1640},"School of Medicine, University of California San Diego, La Jolla, USA",[],{},{"title":1644},{"VI":1645},"Ding Ding",{"id":1647,"sortIndex":45,"researcher":28,"roles":1648,"affiliations":1649,"properties":1663,"displayName":1665,"givenName":28,"familyName":28},"c87edd40-8bf0-4c48-8ec4-d486ce7572ee",[975],[1650,1656],{"id":1584,"sortIndex":32,"affiliation":1651,"properties":28},{"id":1584,"createTime":28,"updateTime":28,"relativeEntities":1652,"slug":28,"properties":1653,"entityType":28,"verifyStatus":28,"verifyTime":28,"verifyNote":28,"languages":28,"translateLanguages":28,"viewCount":28,"url":28,"parentIds":1655,"statistic":28},[],{"title":1654},{"VI":1589},[],{"id":1599,"sortIndex":40,"affiliation":1657,"properties":1662},{"id":1599,"createTime":28,"updateTime":28,"relativeEntities":1658,"slug":28,"properties":1659,"entityType":28,"verifyStatus":28,"verifyTime":28,"verifyNote":28,"languages":28,"translateLanguages":28,"viewCount":28,"url":28,"parentIds":1661,"statistic":28},[],{"title":1660},{"EN":1604},[],{},{"title":1664},{"VI":1665},"Gonghuan 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nonresponse in an HIV serosurvey can affect estimates of HIV prevalence. Nonresponse can arise from a participant's refusal to provide a blood sample or the failure to trace a sampled individual. In a serosurvey conducted by the African Population and Health Research Center and Kenya Medical Research Centre in the slums of Nairobi, 43% of sampled individuals did not provide a blood sample. This paper describes selective participation in the serosurvey and estimates bias in HIV prevalence figures. The paper uses data derived from an HIV serosurvey nested in an on-going demographic surveillance system. Nonresponse was assessed using logistic regression and multiple imputation methods to impute missing data for HIV status using a set of common variables available for all sampled participants. Age, residence, high mobility, wealth, and ethnicity were independent predictors of a sampled individual not being contacted. Individuals aged 30-34 years, females, individuals from the Kikuyu and Kamba ethnicity, married participants, and residents of Viwandani were all less likely to accept HIV testing when contacted. Although men were less likely to be contacted, those found were more willing to be tested compared to females. The overall observed HIV prevalence was overestimated by 2%. The observed prevalence for male participants was underestimated by about 1% and that for females was overestimated by 3%. These differences were small and did not affect the overall estimate substantially as the observed estimates fell within the confidence limits of the corrected prevalence estimate. Nonresponse in the HIV serosurvey in the two informal settlements was high, however, the effect on overall prevalence estimate was minimal.",{"EN":1730},"The effect of participant nonresponse on HIV prevalence estimates in a population-based survey in two informal settlements in Nairobi city",{"VOID":1732},"Mishra V, Vaessen M, Boerma JT, Arnold F, Way A, Barrere B, Cross A, Hong R, Sangha J: HIV testing in national population-based surveys: experience from the Demographic and Health Surveys. Bull World Health Organ 2006, 84: 537-545. 10.2471\u002FBLT.05.029520\nGarcia-Calleja JM, Gouws E, Ghys PD: National population based HIV prevalence surveys in sub-Saharan Africa: results and implications for HIV and AIDS estimates. Sex Transm Infect 2006,82(Suppl 3):iii64-70. 10.1136\u002Fsti.2006.019901\nMarston M, Harriss K, Slaymaker E: Non-response bias in estimates of HIV prevalence due to the mobility of absentees in national population-based surveys: a study of nine national surveys. Sex Transm Infect 2008,84(Suppl 1):i71-i77. 10.1136\u002Fsti.2008.030353\nReniers G, Araya T, Berhane Y, Davey G, Sanders EJ: Implications of the HIV testing protocol for refusal bias in seroprevalence surveys. BMC Public Health 2009, 9: 163. 10.1186\u002F1471-2458-9-163\nReniers G, Eaton J: Refusal bias in HIV prevalence estimates from nationally representative seroprevalence surveys. Aids 2009, 23: 621-629. 10.1097\u002FQAD.0b013e3283269e13\nNational Statistical Office (NSO) [Malawi], ORC Macro: Malawi Demographic and Health Survey 2004. Calverton Maryland: NSO and ORC Macro; 2005.\nZou J, Yamanaka Y, Muze J, Watt M, Ostermann J, Thielman N: Religion and HIV in Tanzania: influence of religious beliefs on HIV stigma disclosure, and treatment attitudes. BMC Public Health 2009., 9: 10.1186\u002F1471-2458-9-75\nSimbayi LC, Kalichman S, Strebel A, Cloete A, Henda N, Mqeketo A: Internalized stigma discrimination, and depression among men and women living with HIV\u002FAIDS in Cape Town South Africa. Soc Sci Med 2007, 64: 1823-1831. 10.1016\u002Fj.socscimed.2007.01.006\nAkwara P A, Madise N J, Hinde A: Perception of risk of HIV\u002FAIDS and sexual behaviour in Kenya. J Biosoc Sci 2003, 35: 385-411. 10.1017\u002FS0021932003003857\nMoutsiakis DL, Chin PN: Why blacks do not take part in HIV vaccine trials. J Natl Med Assoc 2007, 99: 254-257.\nZuma K, Gouws E, Williams B, Lurie M: Risk factors for HIV infection among women in Carletonville South Africa migration demography and sexually transmitted diseases. Int J STD AIDS 2003, 14: 814-817. 10.1258\u002F095646203322556147\nLydie N, Robinson NJ, Ferry B, Akam E, De Loenzien M, Abega S: Mobility, sexual behavior and HIV infection in an urban population in Cameroon. J Acquir Immune Defic Syndr 2004, 35: 67-74. 10.1097\u002F00126334-200401010-00010\nKishamawe C, Vissers DC, Urassa M, Isingo R, Mwaluko G, Borsboom GJ, Voeten HA, Zaba B, Habbema JD, de Vlas SJ: Mobility and HIV in Tanzanian couples: both mobile persons and their partners show increased risk. Aids 2006, 20: 601-608. 10.1097\u002F01.aids.0000210615.83330.b2\nNunn AJ, Wagner HU, Kamali A, Kengeya-Kayondo JF, Mulder DW: Migration and HIV-1 seroprevalence in a rural Ugandan population. Aids 1995, 9: 503-506.\nMatrix Development Consultants: Nairobi's informal settlements: An inventory. A Report Prepared for USAID\u002FREDSO\u002FESA. Nairobi: USAID; 1993.\nCentral Bureau of Statistics (Kenya), Ministry of Health (MOH-Kenya), Macro O: Kenya Demographic and Health Surveys (2003). Calverton Maryland: Central Bureau of Statistics [Kenya], Ministry of Health (MOH) [Kenya], ORC Macro; 2004.\nNational AIDS and STI Control Programme Ministry of Health Kenya: Kenya AIDS Indicator Survey 2007. Preliminary Report. Nairobi Kenya: NASCOP; 2008.\nZulu EM, Dodoo FN, Chika-Ezee A: Sexual risk-taking in the slums of Nairobi Kenya, 1993-8. Popul Stud (Camb) 2002, 56: 311-323. 10.1080\u002F00324720215933\nAPHRC: Population and health dynamics in Nairobi's informal settlements. Nairobi: African Population and Health Research Center; 2002.\nKyobutungi C, Ziraba AK, Ezeh A, Ye Y: The burden of disease profile of residents of Nairobi's slums: Results from a Demographic Surveillance System. Popul Health Metr 2008, 6: 1. 10.1186\u002F1478-7954-6-1\nvan Buuren S, Boshuizen H C, Knook D L: Multiple imputation of missing blood pressure covariates in survival analysis. Statistics in Medicine 1999, 18: 681-694. 10.1002\u002F(SICI)1097-0258(19990330)18:6\u003C681::AID-SIM71>3.0.CO;2-R\nRoyston P: Multiple imputation of missing values: Update of ice. The Stata Journal 2005, 5: 527-536.\nRoyston P: Multiple imputation of missing values. The Stata Journal 2004, 4: 227-227.\nClark SJ, Collinson MA, Kahn K, Drullinger K, Tollman SM: Returning home to die: circular labour migration and mortality in South Africa. Scand J Public Health Suppl 2007, 69: 35-44. 10.1080\u002F14034950701355619",{"VOID":1734},"10.1186\u002F1478-7954-8-22","https:\u002F\u002Fpophealthmetrics.biomedcentral.com\u002Farticles\u002F10.1186\u002F1478-7954-8-22",[1737,1761,1776,1791,1804,1819,1832,1845],{"id":1738,"sortIndex":32,"researcher":28,"roles":1739,"affiliations":1740,"properties":1758,"displayName":1760,"givenName":28,"familyName":28},"594aee50-9f2c-4d11-92ed-69d629a18761",[975],[1741,1749],{"id":1742,"sortIndex":32,"affiliation":1743,"properties":28},"84cc085d-c5bb-413f-b074-e4ae3950a446",{"id":1742,"createTime":28,"updateTime":28,"relativeEntities":1744,"slug":28,"properties":1745,"entityType":28,"verifyStatus":28,"verifyTime":28,"verifyNote":28,"languages":28,"translateLanguages":28,"viewCount":28,"url":28,"parentIds":1748,"statistic":28},[],{"title":1746},{"VI":1747},"African Population and Health Research Center, Shelter Afrique Centre, Nairobi, Kenya",[],{"id":1750,"sortIndex":40,"affiliation":1751,"properties":1757},"1ebf6982-1522-4eb0-a5e3-b40a6188a962",{"id":1750,"createTime":28,"updateTime":28,"relativeEntities":1752,"slug":28,"properties":1753,"entityType":28,"verifyStatus":28,"verifyTime":28,"verifyNote":28,"languages":28,"translateLanguages":28,"viewCount":28,"url":28,"parentIds":1756,"statistic":28},[],{"title":1754},{"VI":1755},"Department of Epidemiology and Population Health, Centre for Population Studies, London School of Hygiene and Tropical Medicine, London, UK",[],{},{"title":1759},{"VI":1760},"Abdhalah K Ziraba",{"id":1762,"sortIndex":40,"researcher":28,"roles":1763,"affiliations":1764,"properties":1773,"displayName":1775,"givenName":28,"familyName":28},"db1bff5f-8108-4eaf-8306-2dd6aaa6855b",[975],[1765],{"id":1766,"sortIndex":32,"affiliation":1767,"properties":28},"e735730c-b74e-4782-8cfb-7c7d1afba955",{"id":1766,"createTime":28,"updateTime":28,"relativeEntities":1768,"slug":28,"properties":1769,"entityType":28,"verifyStatus":28,"verifyTime":28,"verifyNote":28,"languages":28,"translateLanguages":28,"viewCount":28,"url":28,"parentIds":1772,"statistic":28},[],{"title":1770},{"VI":1771},"University of Southampton, School of Social Sciences, Southampton, UK",[],{"title":1774},{"VI":1775},"Nyovani J Madise",{"id":1777,"sortIndex":123,"researcher":28,"roles":1778,"affiliations":1779,"properties":1788,"displayName":1790,"givenName":28,"familyName":28},"f2ca3c01-21d7-4b3e-9db6-08aed50e8fc3",[975],[1780],{"id":1781,"sortIndex":32,"affiliation":1782,"properties":28},"3adc9d55-98a7-428f-86a2-e87d3961d4a4",{"id":1781,"createTime":28,"updateTime":28,"relativeEntities":1783,"slug":28,"properties":1784,"entityType":28,"verifyStatus":28,"verifyTime":28,"verifyNote":28,"languages":28,"translateLanguages":28,"viewCount":28,"url":28,"parentIds":1787,"statistic":28},[],{"title":1785},{"VI":1786},"Kenya Medical Research Institute (KEMRI), Nairobi, Kenya",[],{"title":1789},{"VI":1790},"Mwau Matilu",{"id":1792,"sortIndex":42,"researcher":28,"roles":1793,"affiliations":1794,"properties":1801,"displayName":1803,"givenName":28,"familyName":28},"1eb5dc78-d4b8-4b66-bdd5-d4c2afc7ef7f",[975],[1795],{"id":1742,"sortIndex":32,"affiliation":1796,"properties":28},{"id":1742,"createTime":28,"updateTime":28,"relativeEntities":1797,"slug":28,"properties":1798,"entityType":28,"verifyStatus":28,"verifyTime":28,"verifyNote":28,"languages":28,"translateLanguages":28,"viewCount":28,"url":28,"parentIds":1800,"statistic":28},[],{"title":1799},{"VI":1747},[],{"title":1802},{"VI":1803},"Eliya 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Kebaso",{"id":1820,"sortIndex":46,"researcher":28,"roles":1821,"affiliations":1822,"properties":1829,"displayName":1831,"givenName":28,"familyName":28},"b73566f3-a7b7-4c04-b972-638af5937337",[975],[1823],{"id":1781,"sortIndex":32,"affiliation":1824,"properties":28},{"id":1781,"createTime":28,"updateTime":28,"relativeEntities":1825,"slug":28,"properties":1826,"entityType":28,"verifyStatus":28,"verifyTime":28,"verifyNote":28,"languages":28,"translateLanguages":28,"viewCount":28,"url":28,"parentIds":1828,"statistic":28},[],{"title":1827},{"VI":1786},[],{"title":1830},{"VI":1831},"Samoel Khamadi",{"id":1833,"sortIndex":48,"researcher":28,"roles":1834,"affiliations":1835,"properties":1842,"displayName":1844,"givenName":28,"familyName":28},"8b9798f3-d1d8-4d8d-83de-89277b69a4c8",[975],[1836],{"id":1781,"sortIndex":32,"affiliation":1837,"properties":28},{"id":1781,"createTime":28,"updateTime":28,"relativeEntities":1838,"slug":28,"properties":1839,"entityType":28,"verifyStatus":28,"verifyTime":28,"verifyNote":28,"languages":28,"translateLanguages":28,"viewCount":28,"url":28,"parentIds":1841,"statistic":28},[],{"title":1840},{"VI":1786},[],{"title":1843},{"VI":1844},"Vincent Okoth",{"id":1846,"sortIndex":49,"researcher":28,"roles":1847,"affiliations":1848,"properties":1855,"displayName":1857,"givenName":28,"familyName":28},"23055373-1fba-4d82-adcf-5e9421c591f3",[975],[1849],{"id":1742,"sortIndex":32,"affiliation":1850,"properties":28},{"id":1742,"createTime":28,"updateTime":28,"relativeEntities":1851,"slug":28,"properties":1852,"entityType":28,"verifyStatus":28,"verifyTime":28,"verifyNote":28,"languages":28,"translateLanguages":28,"viewCount":28,"url":28,"parentIds":1854,"statistic":28},[],{"title":1853},{"VI":1747},[],{"title":1856},{"VI":1857},"Alex C Ezeh",{"url":1735,"publisher":1859,"properties":1906},{"id":868,"createTime":869,"updateTime":870,"relativeEntities":1860,"slug":872,"properties":1861,"entityType":25,"verifyStatus":883,"verifyTime":28,"verifyNote":28,"languages":28,"translateLanguages":28,"viewCount":40,"subjectFields":1866,"manageAffiliations":1875,"indexDatabases":1886,"url":942,"thumbnailPath":28,"statistic":1901,"gsStatistic":28,"type":28,"analyzePriority":28},[],{"country":1862,"eissn":1863,"issn":1864,"title":1865},{"VOID":875},{"VOID":877},{"VOID":877},{"EN":880},[1867,1871],{"id":886,"createTime":28,"updateTime":28,"relativeEntities":1868,"label":1869,"description":1870,"parentId":28,"standard":28,"scholarHubFieldId":28},[],{"EN":889},{},{"id":892,"createTime":28,"updateTime":28,"relativeEntities":1872,"label":1873,"description":1874,"parentId":28,"standard":28,"scholarHubFieldId":28},[],{"EN":895},{},[1876,1881],{"id":899,"createTime":28,"updateTime":28,"relativeEntities":1877,"slug":28,"properties":1878,"entityType":28,"verifyStatus":28,"verifyTime":28,"verifyNote":28,"languages":28,"translateLanguages":28,"viewCount":28,"url":28,"parentIds":1880,"statistic":28},[],{"title":1879},{"EN":903},[],{"id":906,"createTime":28,"updateTime":28,"relativeEntities":1882,"slug":28,"properties":1883,"entityType":28,"verifyStatus":28,"verifyTime":28,"verifyNote":28,"languages":28,"translateLanguages":28,"viewCount":28,"url":28,"parentIds":1885,"statistic":28},[],{"title":1884},{"EN":910},[],[1887,1894],{"id":914,"indexDatabase":1888,"url":920,"indexYears":921,"academicFieldIds":1893,"indexDatabaseRanking":925},{"id":775,"createTime":28,"updateTime":28,"relativeEntities":1889,"label":1890,"description":1891,"key":781,"publicationTags":1892,"standard":28},[],{"EN":778,"VI":778},{"EN":778,"VI":780},[783],[923,924],{"id":927,"indexDatabase":1895,"url":939,"indexYears":28,"academicFieldIds":1900,"indexDatabaseRanking":28},{"id":929,"createTime":28,"updateTime":28,"relativeEntities":1896,"label":1897,"description":1898,"key":936,"publicationTags":1899,"standard":28},[],{"EN":932,"VI":932},{"EN":934,"VI":935},[938,813],[941],{"impactFactor":32,"impactFactorByYear":1902,"i10Index":32,"i10IndexLast5Year":32,"totalPublication":945,"totalPublicationByYear":1903,"totalCitation":32,"totalCitationByYear":1904,"totalCitationPerPublication":32,"totalCitationPerPublicationByYear":1905,"hindexLast5Year":32,"hindex":32},{},{"2003":48,"2004":123,"2005":48,"2006":49,"2007":145,"2008":48,"2009":146,"2010":129,"2011":150,"2012":126,"2013":47,"2014":146,"2015":199,"2016":136,"2017":122,"2018":127,"2019":47,"2020":136,"2021":134,"2022":199,"2023":126},{},{},{"pages":1907,"volume":1909},{"VOID":1908},"1-10",{"VOID":1910},"8","2010-07-22",2010,[938,925],{"id":1915,"createTime":1916,"updateTime":1917,"relativeEntities":1918,"slug":1919,"properties":1920,"entityType":968,"verifyStatus":26,"verifyTime":1917,"verifyNote":969,"languages":28,"translateLanguages":28,"viewCount":32,"primaryUrl":1929,"fullTextUrl":28,"authors":1930,"publicationType":1023,"publisherRelationship":2035,"citationCount":28,"citationInfo":28,"publishDate":2087,"publishYear":2088,"citationAnalyzeStatus":883,"lastCitationAnalyze":28,"indexDatabases":2089,"openAccess":28,"references":28,"isForceReanalyzing":1080},"04b00031-28cf-4c61-afa0-f707758ed047","2024-01-17T00:41:37.910+00:00","2025-02-05T07:55:41.723+00:00",[],"An-objective-metric-of-individual-health-and-aging-for-population-surveys",{"abstract":1921,"title":1923,"references":1925,"doi":1927},{"EN":1922},"We have previously developed and validated a biomarker-based metric of overall health status using Mahalanobis distance (DM) to measure how far from the norm of a reference population (RP) an individual’s biomarker profile is. DM is not particularly sensitive to the choice of biomarkers; however, this makes comparison across studies difficult. Here we aimed to identify and validate a standard, optimized version of DM that would be highly stable across populations, while using fewer and more commonly measured biomarkers. Using three datasets (the Baltimore Longitudinal Study of Aging, Invecchiare in Chianti and the National Health and Nutrition Examination Survey), we selected the most stable sets of biomarkers in all three populations, notably when interchanging RPs across populations. We performed regression models, using a fourth dataset (the Women’s Health and Aging Study), to compare the new DM sets to other well-known metrics [allostatic load (AL) and self-assessed health (SAH)] in their association with diverse health outcomes: mortality, frailty, cardiovascular disease (CVD), diabetes, and comorbidity number. A nine- (DM9) and a seventeen-biomarker set (DM17) were identified as highly stable regardless of the chosen RP (e.g.: mean correlation among versions generated by interchanging RPs across dataset of r = 0.94 for both DM9 and DM17). In general, DM17 and DM9 were both competitive compared with AL and SAH in predicting aging correlates, with some exceptions for DM9. For example, DM9, DM17, AL, and SAH all predicted mortality to a similar extent (ranges of hazard ratios of 1.15–1.30, 1.21–1.36, 1.17–1.38, and 1.17–1.49, respectively). On the other hand, DM9 predicted CVD less well than DM17 (ranges of odds ratios of 0.97–1.08, 1.07–1.85, respectively). The metrics we propose here are easy to measure with data that are already available in a wide array of panel, cohort, and clinical studies. The standardized versions here lose a small amount of predictive power compared to more complete versions, but are nonetheless competitive with existing metrics of overall health. DM17 performs slightly better than DM9 and should be preferred in most cases, but DM9 may still be used when a more limited number of biomarkers is available.",{"EN":1924},"An objective metric of individual health and aging for population surveys",{"VOID":1926},"Lindeboom M, van Doorslaer E. Cut-point shift and index shift in self-reported health. J Health Econ. 2004;23:1083–99.\nBound J. Self-reported versus objective measures of health in retirement models. J Human Resour. 1991;26:106–38.\nCharlson M, Szatrowski TP, Peterson J, Gold J. Validation of a combined comorbidity index. J Clin Epidemiol. 1994;47:1245–51.\nFortin M, Bravo G, Hudon C, Lapointe L, Almirall J, Dubois M-F, et al. Relationship between multimorbidity and health-related quality of life of patients in primary care. Qual Life Res. 2006;15:83–91. https:\u002F\u002Fdoi.org\u002F10.1007\u002Fs11136-005-8661-z.\nFried LP, Tangen CM, Walston J, Newman AB, Hirsch C, Gottdiener J, et al. 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Washington, DC: World Bank; 2008. https:\u002F\u002Fopenknowledge.worldbank.org\u002Fhandle\u002F10986\u002F6896\nLi Q, Cohen AA, Legault V, Girard VD, Ferrucci L, Fried LP. An objective measure of individual health and aging for population surveys.\nWooldridge JM. Econometric analysis of cross section and panel data. 2nd ed. Cambridge: MIT Press; 2010.\nLi Q. Identifiability of mean-reverting measurement error with instrumental variable. Stat Neerl. 2014;68:118–29.\nBenyamini Y, Leventhal EA, Leventhal H. Gender differences in processing information for making self-assessments of health. Psychosom Med. 2000;62:354–64.\nCrimmins EM, Kim JK, Solé-Auró A. Gender differences in health: results from SHARE, ELSA and HRS. Eur J Pub Health. 2011;21:81–91.\nAlang SM, McCreedy EM, McAlpine DD. Race, Ethnicity, and Self-Rated Health Among Immigrants in the United States. J Racial Ethn Health Disparities. 2015;2:565–72.\nZhang H, Bago d’Uva T, van Doorslaer E. 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J Gerontol A Biol Sci Med Sci. 2009;64:1049–57.",{"VOID":1928},"10.1186\u002Fs12963-022-00289-0","https:\u002F\u002Fpophealthmetrics.biomedcentral.com\u002Farticles\u002F10.1186\u002Fs12963-022-00289-0",[1931,1946,1961,1974,1989,2004],{"id":1932,"sortIndex":32,"researcher":28,"roles":1933,"affiliations":1934,"properties":1943,"displayName":1945,"givenName":28,"familyName":28},"65df5299-80ee-452f-ae1e-f58eb3d41b39",[975],[1935],{"id":1936,"sortIndex":32,"affiliation":1937,"properties":28},"182b88cb-528a-49e6-ab8e-1ffaefc559d5",{"id":1936,"createTime":28,"updateTime":28,"relativeEntities":1938,"slug":28,"properties":1939,"entityType":28,"verifyStatus":28,"verifyTime":28,"verifyNote":28,"languages":28,"translateLanguages":28,"viewCount":28,"url":28,"parentIds":1942,"statistic":28},[],{"title":1940},{"VI":1941},"School of Economics and Management, Xinjiang University, Urumqi, China",[],{"title":1944},{"VI":1945},"Qing Li",{"id":1947,"sortIndex":40,"researcher":28,"roles":1948,"affiliations":1949,"properties":1958,"displayName":1960,"givenName":28,"familyName":28},"0ceda606-78b6-444f-b025-96369f60335a",[975],[1950],{"id":1951,"sortIndex":32,"affiliation":1952,"properties":28},"4e9b9ea9-147a-42d0-9809-b9644298a09b",{"id":1951,"createTime":28,"updateTime":28,"relativeEntities":1953,"slug":28,"properties":1954,"entityType":28,"verifyStatus":28,"verifyTime":28,"verifyNote":28,"languages":28,"translateLanguages":28,"viewCount":28,"url":28,"parentIds":1957,"statistic":28},[],{"title":1955},{"VI":1956},"PRIMUS Research Group, Department of Family Medicine, University of Sherbrooke, Sherbrooke, Canada",[],{"title":1959},{"VI":1960},"Véronique Legault",{"id":1962,"sortIndex":123,"researcher":28,"roles":1963,"affiliations":1964,"properties":1971,"displayName":1973,"givenName":28,"familyName":28},"1b07a8fc-5142-4a44-a7a4-29df5e7491ae",[975],[1965],{"id":1951,"sortIndex":32,"affiliation":1966,"properties":28},{"id":1951,"createTime":28,"updateTime":28,"relativeEntities":1967,"slug":28,"properties":1968,"entityType":28,"verifyStatus":28,"verifyTime":28,"verifyNote":28,"languages":28,"translateLanguages":28,"viewCount":28,"url":28,"parentIds":1970,"statistic":28},[],{"title":1969},{"VI":1956},[],{"title":1972},{"VI":1973},"Vincent-Daniel Girard",{"id":1975,"sortIndex":42,"researcher":28,"roles":1976,"affiliations":1977,"properties":1986,"displayName":1988,"givenName":28,"familyName":28},"f9bd46de-00d4-4a6f-be85-52decbc95581",[975],[1978],{"id":1979,"sortIndex":32,"affiliation":1980,"properties":28},"be74c292-3bf0-4dab-acd6-5ef2dfca8de6",{"id":1979,"createTime":28,"updateTime":28,"relativeEntities":1981,"slug":28,"properties":1982,"entityType":28,"verifyStatus":28,"verifyTime":28,"verifyNote":28,"languages":28,"translateLanguages":28,"viewCount":28,"url":28,"parentIds":1985,"statistic":28},[],{"title":1983},{"VI":1984},"Translational Gerontology Branch, Longitudinal Studies Section, National Institute on Aging, National Institutes of Health, MedStar Harbor Hospital, Baltimore, USA",[],{"title":1987},{"VI":1988},"Luigi Ferrucci",{"id":1990,"sortIndex":45,"researcher":28,"roles":1991,"affiliations":1992,"properties":2001,"displayName":2003,"givenName":28,"familyName":28},"bbed5c35-f8be-4d16-9d78-8fb079b885e8",[975],[1993],{"id":1994,"sortIndex":32,"affiliation":1995,"properties":28},"6c11ff08-6baa-45e8-80fe-67d721060229",{"id":1994,"createTime":28,"updateTime":28,"relativeEntities":1996,"slug":28,"properties":1997,"entityType":28,"verifyStatus":28,"verifyTime":28,"verifyNote":28,"languages":28,"translateLanguages":28,"viewCount":28,"url":28,"parentIds":2000,"statistic":28},[],{"title":1998},{"VI":1999},"Mailman School of Public Health, Columbia University, New York, USA",[],{"title":2002},{"VI":2003},"Linda P. 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Cohen",{"url":1929,"publisher":2036,"properties":2083},{"id":868,"createTime":869,"updateTime":870,"relativeEntities":2037,"slug":872,"properties":2038,"entityType":25,"verifyStatus":883,"verifyTime":28,"verifyNote":28,"languages":28,"translateLanguages":28,"viewCount":40,"subjectFields":2043,"manageAffiliations":2052,"indexDatabases":2063,"url":942,"thumbnailPath":28,"statistic":2078,"gsStatistic":28,"type":28,"analyzePriority":28},[],{"country":2039,"eissn":2040,"issn":2041,"title":2042},{"VOID":875},{"VOID":877},{"VOID":877},{"EN":880},[2044,2048],{"id":886,"createTime":28,"updateTime":28,"relativeEntities":2045,"label":2046,"description":2047,"parentId":28,"standard":28,"scholarHubFieldId":28},[],{"EN":889},{},{"id":892,"createTime":28,"updateTime":28,"relativeEntities":2049,"label":2050,"description":2051,"parentId":28,"standard":28,"scholarHubFieldId":28},[],{"EN":895},{},[2053,2058],{"id":899,"createTime":28,"updateTime":28,"relativeEntities":2054,"slug":28,"properties":2055,"entityType":28,"verifyStatus":28,"verifyTime":28,"verifyNote":28,"languages":28,"translateLanguages":28,"viewCount":28,"url":28,"parentIds":2057,"statistic":28},[],{"title":2056},{"EN":903},[],{"id":906,"createTime":28,"updateTime":28,"relativeEntities":2059,"slug":28,"properties":2060,"entityType":28,"verifyStatus":28,"verifyTime":28,"verifyNote":28,"languages":28,"translateLanguages":28,"viewCount":28,"url":28,"parentIds":2062,"statistic":28},[],{"title":2061},{"EN":910},[],[2064,2071],{"id":914,"indexDatabase":2065,"url":920,"indexYears":921,"academicFieldIds":2070,"indexDatabaseRanking":925},{"id":775,"createTime":28,"updateTime":28,"relativeEntities":2066,"label":2067,"description":2068,"key":781,"publicationTags":2069,"standard":28},[],{"EN":778,"VI":778},{"EN":778,"VI":780},[783],[923,924],{"id":927,"indexDatabase":2072,"url":939,"indexYears":28,"academicFieldIds":2077,"indexDatabaseRanking":28},{"id":929,"createTime":28,"updateTime":28,"relativeEntities":2073,"label":2074,"description":2075,"key":936,"publicationTags":2076,"standard":28},[],{"EN":932,"VI":932},{"EN":934,"VI":935},[938,813],[941],{"impactFactor":32,"impactFactorByYear":2079,"i10Index":32,"i10IndexLast5Year":32,"totalPublication":945,"totalPublicationByYear":2080,"totalCitation":32,"totalCitationByYear":2081,"totalCitationPerPublication":32,"totalCitationPerPublicationByYear":2082,"hindexLast5Year":32,"hindex":32},{},{"2003":48,"2004":123,"2005":48,"2006":49,"2007":145,"2008":48,"2009":146,"2010":129,"2011":150,"2012":126,"2013":47,"2014":146,"2015":199,"2016":136,"2017":122,"2018":127,"2019":47,"2020":136,"2021":134,"2022":199,"2023":126},{},{},{"pages":2084,"volume":2085},{"VOID":1308},{"VOID":2086},"20","2022-03-31",2022,[938,925],{"id":2091,"createTime":2092,"updateTime":2093,"relativeEntities":2094,"slug":2095,"properties":2096,"entityType":968,"verifyStatus":26,"verifyTime":2093,"verifyNote":969,"languages":28,"translateLanguages":28,"viewCount":32,"primaryUrl":2105,"fullTextUrl":28,"authors":2106,"publicationType":1023,"publisherRelationship":2174,"citationCount":28,"citationInfo":28,"publishDate":2226,"publishYear":2227,"citationAnalyzeStatus":883,"lastCitationAnalyze":28,"indexDatabases":2228,"openAccess":28,"references":28,"isForceReanalyzing":1080},"056b4498-c504-44bf-9316-a36ac4b02074","2023-12-20T20:28:40.843+00:00","2024-12-31T21:47:00.469+00:00",[],"An-evaluation-of-the-accuracy-of-small-area-demographic-estimates-of-population-at-risk-and-its-effect-on-prevalence-statistics",{"abstract":2097,"title":2099,"references":2101,"doi":2103},{"EN":2098},"Demographic estimates of population at risk often underpin epidemiologic research and public health surveillance efforts. In spite of their central importance to epidemiology and public-health practice, little previous attention has been paid to evaluating the magnitude of errors associated with such estimates or the sensitivity of epidemiologic statistics to these effects. In spite of the well-known observation that accuracy in demographic estimates declines as the size of the population to be estimated decreases, demographers continue to face pressure to produce estimates for increasingly fine-grained population characteristics at ever-smaller geographic scales. Unfortunately, little guidance on the magnitude of errors that can be expected in such estimates is currently available in the literature and available for consideration in small-area epidemiology. This paper attempts to fill this current gap by producing a Vintage 2010 set of single-year-of-age estimates for census tracts, then evaluating their accuracy and precision in light of the results of the 2010 Census. These estimates are produced and evaluated for 499 census tracts in New Mexico for single-years of age from 0 to 21 and for each sex individually. The error distributions associated with these estimates are characterized statistically using non-parametric statistics including the median and 2.5th and 97.5th percentiles. The impact of these errors are considered through simulations in which observed and estimated 2010 population counts are used as alternative denominators and simulated event counts are used to compute a realistic range fo prevalence values. The implications of the results of this study for small-area epidemiologic research in cancer and environmental health are considered.",{"EN":2100},"An evaluation of the accuracy of small-area demographic estimates of population at risk and its effect on prevalence statistics",{"VOID":2102},"Centers for Disease Control: National Program of Cancer Registries Cancer Surveillance System Rationale and Approach. 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Introduction to the Mathematics of Population. Ch.10. Reading. Boston: Addison-Wesley; 1968.\nAitken AC: On interpolation by iteration of proportional parts, without the use of differences. Proc Edinb Math Soc 1932,2(3):56-76.\nBeers HS: Six-term formulas for routine actuarial interpolation. Re Am Inst Actuaries 1944,33(68):245-260.\nGreville T: The general theory of osculatory interpolation. Trans Acoust Soc Am 1944,45(112):202-265.\nGreville T: Recent developments in graduation and interpolation. J Am Stat Assoc 1948,43(243):428-441. 10.1080\u002F01621459.1948.10483272\nSprague TB: Explanation of a new formula for interpolation. J Inst Actuaries 1881,22(270):1880-1881.\nWolfenden H: Population Statistics and Their Compilation. Chicago: University of Chicago Press; 1954.\nNeter J, Kutner M, Wasserman M, Nacthschem C: Applied Linear Statistical Models. 4th edition. 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New York: Springer; 2011.\nDrummond WJ: Address matching: GIS technology for mapping human activity patterns. J Am Plann Assoc 1995,61(2):240-251. 10.1080\u002F01944369508975636\nRatcliffe JH: On the accuracy of tiger-type geocoded address data in relation to cadastral and census area units. Int J Geogr Inf Sci 2001,15(5):473-485. 10.1080\u002F13658810110047221\nKarimi HA, Durcik M: Evaluation of uncertainties associated with geocoding techniques. Comput Aided Civil Infrastruct Eng 2004, 19: 170-185. 10.1111\u002Fj.1467-8667.2004.00346.x\nGoldberg DW, Wilson JP, Knoblock CA: From text to geographic coordinates: The current state of geocoding. URISA J 2007,19(1):33-46.\nRushton G: Geocoding in cancer research: A review. Am J Prev Med 2006,30(2S):S16-S24.\nZandbergen P: Geocoding quality and implications for spatial analysis. Geogr Compass 2009., 3: Online\nJarosz B: Using Assessor Parcel Data to Maintain Housing Unit Counts for Small-Area Population Estimates. In Applied Demography in the 21st Century. Edited by: Murdock S, Swanson D. New York: Springer; 2008:89-101.",{"VOID":2104},"10.1186\u002F1478-7954-11-24","https:\u002F\u002Fpophealthmetrics.biomedcentral.com\u002Farticles\u002F10.1186\u002F1478-7954-11-24",[2107,2122,2135,2148,2161],{"id":2108,"sortIndex":32,"researcher":28,"roles":2109,"affiliations":2110,"properties":2119,"displayName":2121,"givenName":28,"familyName":28},"4710a1a5-268e-43f1-aa29-c89291eb3715",[975],[2111],{"id":2112,"sortIndex":32,"affiliation":2113,"properties":28},"42af328c-de31-4605-a542-aa12707e333a",{"id":2112,"createTime":28,"updateTime":28,"relativeEntities":2114,"slug":28,"properties":2115,"entityType":28,"verifyStatus":28,"verifyTime":28,"verifyNote":28,"languages":28,"translateLanguages":28,"viewCount":28,"url":28,"parentIds":2118,"statistic":28},[],{"title":2116},{"VI":2117},"University of New Mexico, Albuquerque, Mexico",[],{"title":2120},{"VI":2121},"Jack D 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the importance of mortality data for effective planning and monitoring of health services, official reporting systems rarely capture every death. The completeness of death reporting and the subsequent effect on mortality estimates were examined in six municipalities of Bohol province in the Philippines using a system review and capture-recapture analysis. Reports of deaths were collected from records at local civil registration offices, health centers and hospitals, and parish churches. Records were reconciled using a specific set of matching criteria, and both a two-source and a three-source capture-recapture analysis was conducted. For the two-source analysis, civil registry and health data were combined due to dependence between these sources and analyzed against the church data. Significant dependence between civil registration and health reporting systems was identified. There were 8,075 unique deaths recorded in the study area between 2002 and 2007. We found 5% to 10% of all deaths were not reported to any source, while government records captured only 77% of all deaths. Life expectancy at birth (averaged for 2002-2007) was estimated at 65.7 years and 73.0 years for males and females, respectively. This was one to two years lower than life expectancy estimated from reconciled reported deaths from all sources, and four to five years lower than life expectancy estimated from civil registration data alone. Reporting patterns varied by age and municipality, with childhood deaths more underreported than adult deaths. Infant mortality was underreported in civil registration data by 62%. Deaths are underreported in Bohol, with inconsistent reporting procedures contributing to this situation. Uncorrected mortality measures would subsequently be misleading if used for health planning and evaluation purposes. These findings highlight the importance of ensuring that official mortality estimates from the Philippines are derived from data that have been assessed for underreporting and corrected as necessary.",{"EN":2239},"Capture-recapture analysis of all-cause mortality data in Bohol, Philippines",{"VOID":2241},"UNESCAP: Achieving the Millennium Development Goals in an Era of Global Uncertainty: Asia-Pacific Regional Report 2009\u002F10.United Nations Economic and Social Commission for Asia and the Pacific Statistics, Asian Development Bank, United Nation Development Funds. Bangkok; 2010. [http:\u002F\u002Fwww.mdgasiapacific.org\u002Fregional-report-2009-10]\nMathers C, Ma Fat D, Inouie M, Rao C, Lopez A: Counting the dead and what they died from: an assessment of the status of global cause of death data. Bulletin of the World Health Organization 2005,83(3):171-7.\nPhilippines National Statistics Office:Press Release 03: Bohol Recorded a Population of 1.2 Million Persons (Results from the 2007 Census of Population). Manila; 2010. [http:\u002F\u002Fwww.census.gov.ph\u002Fdata\u002Fpressrelease\u002F2010\u002Fpr1003tx.html]\nProvincial government of Bohol: Official Website[http:\u002F\u002Fwww.bohol.gov.ph\u002F]\nKerr CB, Taylor RJ, Heard G, (eds): Handbook of Public Health Methods. Roseville (Australia): McGraw Hill; 1999.\nInternational Working Group for Disease Monitoring and Forecasting (IWGDMF): Capture-Recapture and Multiple-Record Systems Estimation 1: History and Theoretical Development. American Journal of Epidemiology 1995,142(10):1047-1057.\nWittes JT, Sidel VW: A generalization of the simple capture-recapture model with applications to epidemiological research. Journal of Chronic Diseases 1968, 20: 287-301. 10.1016\u002F0021-9681(68)90038-6\nLewden C, Jougla E, Alioum A, Pavillon G, Lièvre L, Morlat P, Salmon D, May T, Chêne G, Costagliola D, the Mortalité 2000 Study Group: Number of deaths among HIV-infected adults in France in 2000, three-source capture-recapture estimation. Epidemiology and Infection 2006,134(6):1345-1352. 10.1017\u002FS095026880600639X\nMcCarty DJ, Tull ES, Moy CS, et al.: Ascertainment corrected rates: applications of capture-recapture methods. Int J Epidemiol 1993, 22: 559-65. 10.1093\u002Fije\u002F22.3.559\nClothier HJ, Vu T, Sundararajan V, Andrews RM, Counahan M, Tallis GF, Lambert SB: Invasive pneumococcal disease in Victoria: a better measurement of the true incidence. Epidemiol Infect 2008, 136: 225-231. 10.1017\u002FS0950268807008187\nMurray CJL, Rajaratnam JK, Marcus J, Laakso T, Lopez AD: What Can We Conclude from Death Registration? Improved Methods for Evaluating Completeness. PLoS Med 2010,7(4):e1000262. 10.1371\u002Fjournal.pmed.1000262\nRowland DT: Demographic Methods and Concepts. New York: Oxford University Press; 2003.\nGrand Challenges in Population Health: Population Health Metrics Research Consortium Project[http:\u002F\u002Fwww.grandchallenges.org\u002FMeasureHealthStatus\u002FChallenges\u002FPopulationHealth\u002FPages\u002FConsortiumProject.aspx]\nPhilippines National Statistics Office: Table: Household Population by Age Group, Sex, and City\u002FMunicipality. In 2000 Census of Population and Housing Final Counts by Region, by Province and by Barangay. Manila; 2001. [data requested from NSO].\nPhilippines National Statistics Office: Table 2: Household Population by Age Group, Sex, and City\u002FMunicipality: 2007. National Census Results by Province. Results from the 2007 Census of Population Manila; 2010. [http:\u002F\u002Fwww.census.gov.ph\u002Fdata\u002Fsectordata\u002F2007\u002FBohol_Table%202.pdf]\nMicrosoft: Access: Computer program. 2007.\nHook E, Regal R: Capture-Recapture Methods in Epidemiology: Methods and Limitations. Epidemiologic Reviews 1995,17(2):243-264.\nJohnson J, Omland K: Model Selection in ecology and evolution. Trends in Ecology and Evolution 2004,19(2):101-108. 10.1016\u002Fj.tree.2003.10.013\nSekar C, Deming DW: On a method of estimating birth and death rates and extent of registration. Journal of American Statistical Association 1949, 44: 101-115. 10.2307\u002F2280353\nHook E, Regal R: Validity of Methods for Model Selection, Weighting for Uncertainty and Small Sample Adjustment in Capture-Recapture Estimation. American Journal of Epidemiology 1997,145(12):1138-1144.\nSAS:The CATMOD Procedure. Second edition. SAS\u002FSTAT(R) 9.2 User's Guide. [http:\u002F\u002Fsupport.sas.com\u002Fdocumentation\u002Fcdl\u002Fen\u002Fstatug\u002F63033\u002FHTML\u002Fdefault\u002Fviewer.htm#catmod_toc.htm]\nHeiden M: RECAP: Stata module to perform capture-recapture analysis for three sources with Goodness-of-Fit based confidence intervals. Statistical Software Components S456859, Boston College Department of Economics 2007.\nRepublic of the Philippines: Act No 3753: Law on Registry of Civil Status. Manila; 1930.\nRepublic of the Philippines: Presidential Decree 651: Requiring the registration of births and deaths in the Philippines which occurred from January 1, 1974 and thereafter. 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