Daily surveillance of COVID-19 using the prospective space-time scan statistic in the United States
Tài liệu tham khảo
Amin, 2020, Geographical surveillance of covid-19: diagnosed cases and death in the united states, medRxiv
Bai, 2020, Presumed asymptomatic carrier transmission of covid-19, JAMA, 323, 1406, 10.1001/jama.2020.2565
Boulos, M. N. K., Geraghty, E. M., 2020. Geographical tracking and mapping of coronavirus disease COVID-19/severe acute respiratory syndrome coronavirus 2 (sars-cov-2) epidemic and associated events around the world: how 21st century gis technologies are supporting the global fight against outbreaks and epidemics.
Chang, 2018, Shiny: web application framework for r, 2015, R Pckage Version, 1, 14
Cheng, 2018, Leaflet: create interactive web maps with the javascriptleafletlibrary, R Package Version, 2
Correa, 2015, A critical look at prospective surveillance using a scan statistic, Stat. Med., 34, 1081, 10.1002/sim.6400
De Oliveira, 2011, Detection of patterns in water distribution pipe breakage using spatial scan statistics for point events in a physical network, J. Comput. Civil Eng., 25, 21, 10.1061/(ASCE)CP.1943-5487.0000079
Desjardins, 2020, Rapid surveillance of COVID-19 in the united states using a prospective space-time scan statistic: detecting and evaluating emerging clusters, Appl. Geogr., 102202, 10.1016/j.apgeog.2020.102202
Desjardins, 2018, Space-time clusters and co-occurrence of chikungunya and dengue fever in colombia from 2015 to 2016, Acta Trop., 185, 77, 10.1016/j.actatropica.2018.04.023
Dong, 2020, An interactive web-based dashboard to track covid-19 in real time, Lancet Infect. Dis., 20, 533, 10.1016/S1473-3099(20)30120-1
Duczmal, 2007, A genetic algorithm for irregularly shaped spatial scan statistics, Computat. Stat. Data Anal., 52, 43, 10.1016/j.csda.2007.01.016
Gao, 2013, Early detection of terrorism outbreaks using prospective space–time scan statistics, Prof. Geogr., 65, 676, 10.1080/00330124.2012.724348
Goodchild, 2007, Citizens as sensors: the world of volunteered geography, GeoJournal, 69, 211, 10.1007/s10708-007-9111-y
Greene, 2016, Daily reportable disease spatiotemporal cluster detection, new york city, new york, usa, 2014–2015, Emerging Infect. Dis., 22, 1808, 10.3201/eid2210.160097
Han, 2019, The kernel spatial scan statistic, 349
Hay, 2013, Big data opportunities for global infectious disease surveillance, PLoS Med., 10, 10.1371/journal.pmed.1001413
Hohl, 2020, Rapid detection of covid-19 clusters in the united states using a prospective space-time scan statistic: an update, SIGSPATIAL Special, 12, 2733, 10.1145/3404820.3404825
Huang, 2020, Clinical features of patients infected with 2019 novel coronavirus in wuhan, china, Lancet, 395, 497, 10.1016/S0140-6736(20)30183-5
Kulldorff, 1997, A spatial scan statistic, Commun. Stat.-Theory Methods, 26, 1481, 10.1080/03610929708831995
Kulldorff, 2001, Prospective time periodic geographical disease surveillance using a scan statistic, J. R. Stat. Soc.), 164, 61, 10.1111/1467-985X.00186
Kulldorff, M., 2018. SatscanTM user guide for version 9.6, 2018.
Kulldorff, 1998, Evaluating cluster alarms: a space-time scan statistic and brain cancer in los alamos, new mexico., Am. J. Public Health, 88, 1377, 10.2105/AJPH.88.9.1377
Kulldorff, 2006, An elliptic spatial scan statistic, Stat. Med., 25, 3929, 10.1002/sim.2490
Kulldorff, 2015, Comments on a critical look at prospective surveillance using a scan statisticby t. correa, m. costa, and r. assunção, Stat. Med., 34, 1094, 10.1002/sim.6430
Li, 2020, Early transmission dynamics in wuhan, china, of novel coronavirus–infected pneumonia, N top N. Engl. J. Med., 10.1056/NEJMoa2001316
Lurie, 2020, Developing covid-19 vaccines at pandemic speed, N top N. Engl. J. Med., 382, 1969, 10.1056/NEJMp2005630
Mulatti, 2015, Retrospective space–time analysis methods to support west nile virus surveillance activities, Epidemiol. Infect., 143, 202, 10.1017/S0950268814000442
Nakaya, 2010, Visualising crime clusters in a space-time cube: an exploratory data-analysis approach using space-time kernel density estimation and scan statistics, Trans. GIS, 14, 223, 10.1111/j.1467-9671.2010.01194.x
Noble, 2009, How does multiple testing correction work?, Nat. Biotechnol., 27, 1135, 10.1038/nbt1209-1135
Shaffer, 1995, Multiple hypothesis testing, Annu Rev Psychol, 46, 561, 10.1146/annurev.ps.46.020195.003021
Takahashi, 2008, A flexibly shaped space-time scan statistic for disease outbreak detection and monitoring, Int J Health Geogr, 7, 14, 10.1186/1476-072X-7-14
Tango, 2005, A flexibly shaped spatial scan statistic for detecting clusters, Int J Health Geogr, 4, 11, 10.1186/1476-072X-4-11
Team, 2015, Rstudio: integrated development for r, RStudio, Inc., Boston, MA URL http://www. rstudio. com, 42, 14
Team, 2019, R: a language and environment for statistical computing, dim (ca533), 1, 34
Whiteman, 2018, Detecting space-time clusters of dengue fever in panama after adjusting for vector surveillance data, PLoS Negl Trop Dis, 13, e0007266, 10.1371/journal.pntd.0007266
WHO, 2020, Critical Preparedness, Readiness and Response Actions for COVID-19: Interim Guidance, 22 March 2020
Yang, 2017
