On Linear Growth in COVID-19 Cases

Q2 Mathematics

Computational and Mathematical Biophysics Pub Date : 2020-01-01 DOI:10.1101/2020.06.19.20135640

M. Grinfeld, P. Mulheran

引用次数: 2

Abstract

Abstract We present an elementary model of COVID-19 propagation that makes explicit the connection between testing strategies and rates of transmission and the linear growth in new cases observed in many parts of the world.

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新冠肺炎病例线性增长研究

摘要我们提出了新冠肺炎传播的基本模型，该模型明确了检测策略和传播率与世界许多地区观察到的新病例线性增长之间的联系。

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

Computational and Mathematical Biophysics Mathematics-Mathematical Physics

CiteScore

2.50

自引率

0.00%

发文量

审稿时长

30 weeks