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SubEpiPredict:A tutorial-based primer and toolbox for fitting and forecasting growth trajectories using the ensemble n-sub-epidemic modeling framework

Gerardo Chowell Sushma Dahal Amanda Bleichrodt Amna Tariq James M.Hyman Ruiyan Luo

传染病建模（英文）2024，Vol.9Issue(2)：411-436,26.

传染病建模（英文）2024，Vol.9Issue(2)：411-436,26.DOI:10.1016/j.idm.2024.02.001

SubEpiPredict:A tutorial-based primer and toolbox for fitting and forecasting growth trajectories using the ensemble n-sub-epidemic modeling framework

Gerardo Chowell ¹Sushma Dahal ²Amanda Bleichrodt ²Amna Tariq ³James M.Hyman ⁴Ruiyan Luo²

作者信息

1. Department of Population Health Sciences,School of Public Health,Georgia State University,Atlanta,GA,USA||Department of International Epidemiology and Population Studies,Fogarty International Center,National Institutes of Health,Bethesda,MD,USA
2. Department of Population Health Sciences,School of Public Health,Georgia State University,Atlanta,GA,USA
3. Department of Pediatrics,School of Medicine,Stanford University,Palo Alto,CA,USA
4. Department of Mathematics,Center for Computational Science,Tulane University,New Orleans,LA,USA
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摘要

关键词

n-Sub-epidemic model/Forecasting/MATLAB/Sub-epidemics/Phenomenological models/Performance metrics/Model evaluation

Key words

n-Sub-epidemic model/Forecasting/MATLAB/Sub-epidemics/Phenomenological models/Performance metrics/Model evaluation

引用本文复制引用

Gerardo Chowell,Sushma Dahal,Amanda Bleichrodt,Amna Tariq,James M.Hyman,Ruiyan Luo..SubEpiPredict:A tutorial-based primer and toolbox for fitting and forecasting growth trajectories using the ensemble n-sub-epidemic modeling framework[J].传染病建模（英文）,2024,9(2):411-436,26.

基金项目

G.C.is partially supported from NSF grants 2125246 and 2026797 and R01 GM 130900. （）

传染病建模（英文）

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