评论“最简单的SIR模型能提供定量参数和预测吗?”

Q1 Mathematics

Chaos, Solitons and Fractals: X Pub Date : 2020-03-01 DOI:10.1016/j.csfx.2020.100047

S. Rojas

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引用次数: 2

摘要

这一评论表明，欧洲疾病预防控制中心报告的一些国家2019年12月31日至2020年6月29日期间2019冠状病毒病COVID-19暴发的累积确诊病例数据可以通过SIR流行病学模型的Kermack - McKendrick近似的精确解进行调整。

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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Comment on “Estimation of COVID-19 dynamics “on a back-of-envelope”: Does the simplest SIR model provide quantitative parameters and predictions?”

This comment shows that data regarding cumulative confirmed cases from the coronavirus COVID-19 disease outbreak, in the period December 31, 2019–June 29, 2020 of some countries reported by the European Centre for Disease Prevention and Control, can be adjusted by the exact solution of the Kermack – McKendrick approximation of the SIR epidemiological model.

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来源期刊

Chaos, Solitons and Fractals: X Mathematics-Mathematics (all)

CiteScore

5.00

自引率

0.00%

发文量

审稿时长

20 weeks