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_13
Snippet: The copyright holder for this preprint . https://doi.org/10.1101/2020.02.13.20022707 doi: medRxiv preprint worldwide locations, where the n = 194 locations are indexed with Singapore being i = 1, followed by the rest of the locations in order of decreasing GHS 2 index. We assume that the observed case count across the n locations follows a Poisson distribution, and that the expected case count is linearly proportional to the daily air travel volu.....
Document: The copyright holder for this preprint . https://doi.org/10.1101/2020.02.13.20022707 doi: medRxiv preprint worldwide locations, where the n = 194 locations are indexed with Singapore being i = 1, followed by the rest of the locations in order of decreasing GHS 2 index. We assume that the observed case count across the n locations follows a Poisson distribution, and that the expected case count is linearly proportional to the daily air travel volume and a random variable, reflecting the capacity of detecting cases relative
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