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Dự đoán theo thời gian thực về COVID-19 bằng mô hình fuzzy-grey Markov: một phương pháp khác trong quy trình ra quyết định
Tóm tắt
Đại dịch COVID-19 do virus SARS-CoV-2 đang diễn ra là một căn bệnh lây nhiễm cao và đã nhanh chóng lan rộng trên toàn cầu, ảnh hưởng đến hàng triệu người. Con người chưa từng chứng kiến một căn bệnh tử thần như vậy cho đến nay, và do không có thuốc đặc hiệu hay vắc-xin, tỷ lệ tử vong của căn bệnh này đang gia tăng theo cấp số nhân. Tình hình hiện tại đã làm trầm trọng thêm nỗi lo lắng và sợ hãi của con người. Bởi vì đại dịch này, thế giới đang đi trên một con đường khác. Thế giới đã hồi phục từ nhiều thảm họa, nhưng đây hoàn toàn là một tình huống khác. Thế giới ngày nay đang phải vật lộn bằng nhiều cách để thoát khỏi căn bệnh này. Mặt khác, số người hồi phục khỏi căn bệnh này mang lại cho chúng ta chút an ủi. Tuy nhiên, chúng ta phải thực hiện các biện pháp phòng ngừa khẩn cấp để kiểm soát căn bệnh này bằng tất cả các cách có thể. Do đó, dự báo là một trong những cách để thực hiện các biện pháp phòng ngừa cần thiết. Trong bài báo này, bằng cách sử dụng mô hình fuzzy-grey-Markov, chúng tôi dự đoán số ca bệnh và số ca hồi phục, cũng như số ca tử vong, sử dụng dữ liệu thời gian thực với nhiều cách tiếp cận khác nhau và so sánh với dữ liệu thực tế. Nghiên cứu kết luận với các khuyến nghị quan trọng dành cho chính phủ Ấn Độ nhằm quản lý tình hình COVID-19 một cách chủ động.
Từ khóa
#COVID-19 #dự đoán theo thời gian thực #mô hình fuzzy-grey-Markov #quản lý khủng hoảng #chăm sóc sức khỏeTài liệu tham khảo
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