Disease Detectives: Using Mathematics to Forecast the Spread of Infectious Diseases
Disease Detectives: Using Mathematics to Forecast the Spread of Infectious Diseases
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DOI：
10.3389/frym.2020.577741
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发表时间：
2020-06
期刊：
影响因子：
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通讯作者：
Heather Z. Brooks;Unchitta Kanjanasaratool;Yacoub H. Kureh;M. A. Porter
中科院分区：
文献类型：
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作者：
Heather Z. Brooks;Unchitta Kanjanasaratool;Yacoub H. Kureh;M. A. Porter
19009年的大流行导致人们目前的生活发生了重大变化。为了确定如何最好地减少大流行的影响并开始重新开放社区，政府使用了传染病传播的数学模型。在本文中，我们介绍了一种流行的疾病传播数学模型。我们讨论分析数学模型的结果如何影响政府的政策和人类行为，例如鼓励掩盖面具的戴和身体疏远以帮助减慢疾病的传播。
The COVID-19 pandemic has led to significant changes in how people are currently living their lives. To determine how to best reduce the effects of the pandemic and start reopening communities, governments have used mathematical models of the spread of infectious diseases. In this article, we introduce a popular type of mathematical model of disease spread. We discuss how the results of analyzing mathematical models can influence government policies and human behavior, such as encouraging mask wearing and physical distancing to help slow the spread of a disease.