Estimating geographic variation of infection fatality ratios during epidemics
Joshua Ladau Yulun Wu Mirko Pavicic Daniel Jacobson Matthias Hess James B.Brown Katrina Abuabara Eoin L.Brodie Nicola Falco Ishan Bansal Elijah B.Hoffman Marcin P.Joachimiak Ana M.Mora Angelica M.Walker Haruko M.Wainwright
Estimating geographic variation of infection fatality ratios during epidemics
Estimating geographic variation of infection fatality ratios during epidemics
摘要
关键词
Infection fatality ratio/Infection fatality rate/Noncentral hypergeometric distribution/COVID-19/SARS-CoV-2Key words
Infection fatality ratio/Infection fatality rate/Noncentral hypergeometric distribution/COVID-19/SARS-CoV-2引用本文复制引用
Joshua Ladau,Yulun Wu,Mirko Pavicic,Daniel Jacobson,Matthias Hess,James B.Brown,Katrina Abuabara,Eoin L.Brodie,Nicola Falco,Ishan Bansal,Elijah B.Hoffman,Marcin P.Joachimiak,Ana M.Mora,Angelica M.Walker,Haruko M.Wainwright..Estimating geographic variation of infection fatality ratios during epidemics[J].传染病建模(英文),2024,9(2):634-643,10.基金项目
K.A.and J.L.were supported by a grant from the Benioff Center for Microbiome Medicine.This research used resources of the Oak Ridge Leadership Computing Facility,which is a DOE Office of Science User Facility supported under Contract DE-AC05-00OR22725.This manuscript has been coauthored by UT-Battelle,LLC under contract no.DE-AC05-00OR22725 with the U.S.Department of Energy.The United States Government retains and the publisher,by accepting the article for publi-cation,acknowledges that the United States Government retains a nonexclusive,paid-up,irrevocable,world-wide license to publish or reproduce the published form of this manuscript,or allow others to do so,for United States Government purposes.The Department of Energy will provide public access to these results of federally sponsored research in accordance with the DOE Public Access Plan(http://energy.gov/downloads/doe-public-access-plan,last accessed September 16,2020).Work at Oak Ridge and Lawrence Berkeley National Laboratories was supported by the DOE Office of Science through the National Virtual Biotechnology Laboratory,a consortium of DOE national laboratories focused on response to COVID-19,with funding provided by the Coronavirus CARES Act,and was facilitated by previous breakthroughs obtained through the Laboratory Directed Research and Development Programs of the Lawrence Berkeley and Oak Ridge National Laboratories.M.P.J.was supported by a grant from the Laboratory Directed Research and Development(LDRD)Program of Lawrence Berkeley Na-tional Laboratory under U.S.Department of Energy Contract No.DE-AC02-05CH11231.Oak Ridge National Laboratory would also like to acknowledge funding from the U.S.National Science Foundation(EF-2133763). (http://energy.gov/downloads/doe-public-access-plan,last accessed September 16,2020)