An algorithm for indoor SARS-CoV-2 transmission

被引：0

作者：

Maxin, Daniel ^{[1
]}

Gannon, Spencer ^{[1
]}

机构：

[1] Valparaiso Univ, Dept Math & Stat, 1900 Chapel Dr, Valparaiso, IN 46383 USA

来源：

JOURNAL OF MIND AND MEDICAL SCIENCES | 2022年 / 9卷 / 02期

关键词：

SARS-CoV-2; computer modeling; transmission; infection;

D O I：

10.22543/2392-7674.1313

中图分类号：

R5 [内科学];

学科分类号：

1002 ; 100201 ;

摘要：

We propose a computer modeling approach for SARS-CoV-2 transmission that can be preferable to a purely mathematical framework. It is illustrated its functionality in a specific case of indoor transmission. Based on literature, we assume that infection is due to aerosols with viral particles that persist and accumulate for hours in the air even after the persons who produced them left the space. We incorporate also restricted opening hours as a mitigation measure and one possible behavioral change in response to this measure. It is shown via several examples how this algorithmic modeling approach can be used to run various scenarios in order to predict the efficacy of the intervention.

引用

页码：242 / +

页数：8

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