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_12
Snippet: Imported case counts of 2019-nCoV among high surveillance locations are positively correlated with daily air travel volume (Figure 1 ). An increase in flight volume by 14 passengers per day is associated with one additional imported case in expectation. Singapore lies above the 95% prediction interval (PI),.....
Document: Imported case counts of 2019-nCoV among high surveillance locations are positively correlated with daily air travel volume (Figure 1 ). An increase in flight volume by 14 passengers per day is associated with one additional imported case in expectation. Singapore lies above the 95% prediction interval (PI),
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