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新冠病毒的传播率和环境储库——一项建模研究。

Transmission rates and environmental reservoirs for COVID-19 - a modeling study.

机构信息

Department of Mathematics, University of Florida, Gainesville, FL, USA.

Department of Mathematics, University of Tennessee at Chattanooga, Chattanooga, TN, USA.

出版信息

J Biol Dyn. 2021 Dec;15(1):86-108. doi: 10.1080/17513758.2020.1869844.

Abstract

The coronavirus disease 2019 (COVID-19) remains a global pandemic at present. Although the human-to-human transmission route for this disease has been well established, its transmission mechanism is not fully understood. In this paper, we propose a mathematical model for COVID-19 which incorporates multiple transmission pathways and which employs time-dependent transmission rates reflecting the impact of disease prevalence and outbreak control. Applying this model to a retrospective study based on publicly reported data in China, we argue that the environmental reservoirs play an important role in the transmission and spread of the coronavirus. This argument is supported by our data fitting and numerical simulation results for the city of Wuhan, for the provinces of Hubei and Guangdong, and for the entire country of China.

摘要

目前,2019 冠状病毒病(COVID-19)仍然是一种全球大流行疾病。尽管这种疾病的人际传播途径已经得到充分证实,但它的传播机制尚不完全清楚。在本文中,我们提出了一个 COVID-19 的数学模型,该模型包含多种传播途径,并采用时变的传播率来反映疾病流行和暴发控制的影响。将该模型应用于基于中国公开报告数据的回顾性研究,我们认为环境储层在冠状病毒的传播和扩散中起着重要作用。我们对武汉市、湖北省和广东省以及中国整个国家的数据拟合和数值模拟结果支持了这一观点。

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