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_8
Snippet: Data From a total of 195 worldwide locations (reflecting mainly countries without taking any position on territorial claims), we included n =194, which excludes the epicenter China. Data on imported cases aggregated by location were obtained from the WHO technical report dated 4th February 2020 1 (a zero case count was assumed for all locations not listed). We used case counts up to the 4th February, because after this date the number of exported.....
Document: Data From a total of 195 worldwide locations (reflecting mainly countries without taking any position on territorial claims), we included n =194, which excludes the epicenter China. Data on imported cases aggregated by location were obtained from the WHO technical report dated 4th February 2020 1 (a zero case count was assumed for all locations not listed). We used case counts up to the 4th February, because after this date the number of exported cases from Hubei province drops rapidly 1 , likely due to the Hubei-wide lockdowns.
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