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COVID-19大流行的数学模型:比较分析

Mathematical Models for COVID-19 Pandemic: A Comparative Analysis.

作者信息

Adiga Aniruddha, Dubhashi Devdatt, Lewis Bryan, Marathe Madhav, Venkatramanan Srinivasan, Vullikanti Anil

机构信息

Biocomplexity Institute and Initiative, University of Virginia, Charlottesville, USA.

Department of Computer Science and Engineering, Chalmers University, Gothenburg, Sweden.

出版信息

J Indian Inst Sci. 2020;100(4):793-807. doi: 10.1007/s41745-020-00200-6. Epub 2020 Oct 30.

Abstract

COVID-19 pandemic represents an unprecedented global health crisis in the last 100 years. Its economic, social and health impact continues to grow and is likely to end up as one of the worst global disasters since the 1918 pandemic and the World Wars. Mathematical models have played an important role in the ongoing crisis; they have been used to inform public policies and have been instrumental in many of the social distancing measures that were instituted worldwide. In this article, we review some of the important mathematical models used to support the ongoing planning and response efforts. These models differ in their use, their mathematical form and their scope.

摘要

新冠疫情是过去100年来前所未有的全球健康危机。其对经济、社会和健康的影响持续扩大,很可能成为自1918年大流行和两次世界大战以来最严重的全球灾难之一。数学模型在这场持续的危机中发挥了重要作用;它们被用于为公共政策提供信息,并在全球范围内实施的许多社会 distancing措施中发挥了重要作用。在本文中,我们回顾了一些用于支持当前规划和应对工作的重要数学模型。这些模型在用途、数学形式和范围上有所不同。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/7c36/7596173/99ff79a44b38/41745_2020_200_Fig1_HTML.jpg

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