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

IF 8.8 3区医学 Q1 Medicine

Infectious Disease Modelling Pub Date : 2024-06-01 DOI:10.2139/ssrn.4774196

Leonid Kalachev, Jon Graham, E. Landguth

引用次数: 0

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对经典 SIR 模型进行简单修改，利用流感和 COVID-19 的案例研究估算漏报感染的比例

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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来源期刊

Infectious Disease Modelling Mathematics-Applied Mathematics

CiteScore

17.00

自引率

3.40%

发文量

审稿时长

17 weeks

期刊介绍： Infectious Disease Modelling is an open access journal that undergoes peer-review. Its main objective is to facilitate research that combines mathematical modelling, retrieval and analysis of infection disease data, and public health decision support. The journal actively encourages original research that improves this interface, as well as review articles that highlight innovative methodologies relevant to data collection, informatics, and policy making in the field of public health.

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