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_11
Snippet: We consider the detection of 18 cases by 4th February 2020 in Singapore 1 to reflect the highest surveillance capacity among all locations, and estimate the probability of detection in other countries relative to Singapore according to the following model. We model the case detection across i = 1,..., n . CC-BY-NC-ND 4.0 International license It is made available under a is the author/funder, who has granted medRxiv a license to display the prepr.....
Document: We consider the detection of 18 cases by 4th February 2020 in Singapore 1 to reflect the highest surveillance capacity among all locations, and estimate the probability of detection in other countries relative to Singapore according to the following model. We model the case detection across i = 1,..., n . CC-BY-NC-ND 4.0 International license It is made available under a is the author/funder, who has granted medRxiv a license to display the preprint in perpetuity.
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