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A simple modification to the classical SIR model to estimate the proportion of under-reported infections using case studies in flu and COVID-19

Leonid Kalachev Jon Graham Erin L.Landguth

传染病建模（英文）2024，Vol.9Issue(4)：1147-1162,16.

传染病建模（英文）2024，Vol.9Issue(4)：1147-1162,16.DOI:10.1016/j.idm.2024.06.002

A simple modification to the classical SIR model to estimate the proportion of under-reported infections using case studies in flu and COVID-19

Leonid Kalachev ¹Jon Graham ¹Erin L.Landguth²

作者信息

1. Mathematical Sciences,University of Montana,Missoula,USA||Center for Population Health Research,School of Public and Community Health Sciences,University of Montana,Missoula,USA
2. Center for Population Health Research,School of Public and Community Health Sciences,University of Montana,Missoula,USA
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摘要

关键词

Modeling of epidemics/SIR type models flu and COVID-19/Under-reporting parameter/Proportion of reported disease cases

Key words

Modeling of epidemics/SIR type models flu and COVID-19/Under-reporting parameter/Proportion of reported disease cases

引用本文复制引用

Leonid Kalachev,Jon Graham,Erin L.Landguth..A simple modification to the classical SIR model to estimate the proportion of under-reported infections using case studies in flu and COVID-19[J].传染病建模（英文）,2024,9(4):1147-1162,16.

基金项目

This work was supported by National Institute of General Medical Sciences of the National Institutes of Health,United States(Award numbers P20GM130418 and U54GM104944). （Award numbers P20GM130418 and U54GM104944）

传染病建模（英文）

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