Author: Rene Niehus; Pablo M De Salazar; Aimee Taylor; Marc Lipsitch
Title: Quantifying bias of COVID-19 prevalence and severity estimates in Wuhan, China that depend on reported cases in international travelers Document date: 2020_2_14
ID: h0h0d93t_9
Snippet: We defined imported cases as those with known travel history from China (of those, 83% had travel history from Hubei province, and 17% from unknown locations in China 1 ). Estimates on daily air travel volume were obtained from Lai et al. 8 Singapore as a special case for surveillance of COVID-19, and we assign it it's own category of highest-achieved surveillance. This study did not include human subjects, used publicly available data, and there.....
Document: We defined imported cases as those with known travel history from China (of those, 83% had travel history from Hubei province, and 17% from unknown locations in China 1 ). Estimates on daily air travel volume were obtained from Lai et al. 8 Singapore as a special case for surveillance of COVID-19, and we assign it it's own category of highest-achieved surveillance. This study did not include human subjects, used publicly available data, and therefore no ethical approval was required.
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