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_14
Snippet: is the author/funder, who has granted medRxiv a license (which was not peer-reviewed) The copyright holder for this preprint . https://doi.org/10.1101/2020.02.04.20020495 doi: medRxiv preprint 95% PI). This overall pattern (Singapore lying above the 95% PI, Thailand and Indonesia below) was observed consistently across all six robustness regression analyses. is the author/funder, who has granted medRxiv a license (which was not peer-reviewed) The.....
Document: is the author/funder, who has granted medRxiv a license (which was not peer-reviewed) The copyright holder for this preprint . https://doi.org/10.1101/2020.02.04.20020495 doi: medRxiv preprint 95% PI). This overall pattern (Singapore lying above the 95% PI, Thailand and Indonesia below) was observed consistently across all six robustness regression analyses. is the author/funder, who has granted medRxiv a license (which was not peer-reviewed) The copyright holder for this preprint . https://doi.org/10.1101/2020.02.04.20020495 doi: medRxiv preprint
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