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_10
Snippet: The model was fitted in R (version 3.6.1) 5 to compute , the maximum likelihood estimate of β, and β ︿ thus the expected case count given high surveillance (Figure 1, solid grey line) . We also computed the excluding Thailand from the model fit since it is a high-leverage point. In total, we thus did six additional regression analyses (see Supplementary Figure 1 ). All analyses are fully reproducible given code available online ( https://gith.....
Document: The model was fitted in R (version 3.6.1) 5 to compute , the maximum likelihood estimate of β, and β ︿ thus the expected case count given high surveillance (Figure 1, solid grey line) . We also computed the excluding Thailand from the model fit since it is a high-leverage point. In total, we thus did six additional regression analyses (see Supplementary Figure 1 ). All analyses are fully reproducible given code available online ( https://github.com/c2-d2/cov19flightimport ).
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