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数学分析在污染环境中 COVID-19 再现的应用

Mathematical analysis for COVID-19 resurgence in the contaminated environment.

机构信息

School of Mathematics and Statistics, Southwest University, Chongqin 400715, China.

出版信息

Math Biosci Eng. 2020 Oct 12;17(6):6909-6927. doi: 10.3934/mbe.2020357.

Abstract

A mathematical model is proposed that incorporates the key routes of COVID-19 resurgence: human-to-human transmission and indirect transmission by inhaling infectious aerosols or contacting public facilities with the virus. The threshold condition for the disease invasion is established, and the relationships among the basic reproduction number, peak value and final size are formulated. The model is validated by matching the model with the data on cases of COVID-19 resurgence in April of 2020 from Heilongjiang province in China, which indicates that the predictive values from the mathematical model fit the real data very well. Based upon the computations from the model and analytical formulae, we reveal how the indirect transmission from environmental pathogens contribute to the disease outbreak and how the input of asymptomatic individuals affect the disease spread. These findings highlight the importance of mass detection and environmental disinfection in the control of COVID resurgence.

摘要

提出了一个数学模型,该模型纳入了 COVID-19 反弹的关键途径:人际传播和通过吸入传染性气溶胶或接触带有病毒的公共设施进行的间接传播。建立了疾病入侵的阈值条件,并制定了基本繁殖数、峰值和最终规模之间的关系。通过将模型与中国黑龙江省 2020 年 4 月 COVID-19 反弹病例的数据进行匹配,对模型进行了验证,结果表明,数学模型的预测值非常符合实际数据。基于模型的计算和分析公式,我们揭示了环境病原体的间接传播如何导致疾病爆发,以及无症状个体的输入如何影响疾病传播。这些发现强调了在控制 COVID 反弹方面大规模检测和环境消毒的重要性。

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