Author: Pablo M De Salazar; Rene Niehus; Aimee Taylor; Caroline O Buckee; Marc Lipsitch
Title: Using predicted imports of 2019-nCoV cases to determine locations that may not be identifying all imported cases Document date: 2020_2_5
ID: 9fd5a49o_13
Snippet: with 12 (2-13) more reported import cases than expected under our model. Thailand has a relatively high air travel volume as compared to all other locations, yet it lies below the 95% prediction interval. Finally, Indonesia with zero reported cases lies below the prediction interval -its expected case count is 5 (1-11 . CC-BY-NC-ND 4.0 International license It is made available under a to display the preprint in perpetuity......
Document: with 12 (2-13) more reported import cases than expected under our model. Thailand has a relatively high air travel volume as compared to all other locations, yet it lies below the 95% prediction interval. Finally, Indonesia with zero reported cases lies below the prediction interval -its expected case count is 5 (1-11 . CC-BY-NC-ND 4.0 International license It is made available under a to display the preprint in perpetuity.
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