Selected article for: "air travel and daily air travel volume"

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_9
    Snippet: where C i denotes the reported case count in the i -th location, λ i denotes the expected case count in the i -th location, β denotes the regression coefficient, x i denotes the daily air travel volume of the i -th location......
    Document: where C i denotes the reported case count in the i -th location, λ i denotes the expected case count in the i -th location, β denotes the regression coefficient, x i denotes the daily air travel volume of the i -th location.

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