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A mathematical model for the novel coronavirus epidemic in Wuhan, China

We propose a mathematical model to investigate the current outbreak of the coronavirus disease 2019 (COVID-19) in Wuhan, China. Our model describes the multiple transmission pathways in the infection dynamics, and emphasizes the role of the environmental reservoir in the transmission and spread of t...

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Detalles Bibliográficos
Autores principales: Yang, Chayu, Wang, Jin
Formato: Online Artículo Texto
Lenguaje:English
Publicado: 2020
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7376496/
https://www.ncbi.nlm.nih.gov/pubmed/32233562
http://dx.doi.org/10.3934/mbe.2020148
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author Yang, Chayu
Wang, Jin
author_facet Yang, Chayu
Wang, Jin
author_sort Yang, Chayu
collection PubMed
description We propose a mathematical model to investigate the current outbreak of the coronavirus disease 2019 (COVID-19) in Wuhan, China. Our model describes the multiple transmission pathways in the infection dynamics, and emphasizes the role of the environmental reservoir in the transmission and spread of this disease. Our model also employs non-constant transmission rates which change with the epidemiological status and environmental conditions and which reflect the impact of the on-going disease control measures. We conduct a detailed analysis of this model, and demonstrate its application using publicly reported data. Among other findings, our analytical and numerical results indicate that the coronavirus infection would remain endemic, which necessitates long-term disease prevention and intervention programs.
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spelling pubmed-73764962020-07-23 A mathematical model for the novel coronavirus epidemic in Wuhan, China Yang, Chayu Wang, Jin Math Biosci Eng Article We propose a mathematical model to investigate the current outbreak of the coronavirus disease 2019 (COVID-19) in Wuhan, China. Our model describes the multiple transmission pathways in the infection dynamics, and emphasizes the role of the environmental reservoir in the transmission and spread of this disease. Our model also employs non-constant transmission rates which change with the epidemiological status and environmental conditions and which reflect the impact of the on-going disease control measures. We conduct a detailed analysis of this model, and demonstrate its application using publicly reported data. Among other findings, our analytical and numerical results indicate that the coronavirus infection would remain endemic, which necessitates long-term disease prevention and intervention programs. 2020-03-11 /pmc/articles/PMC7376496/ /pubmed/32233562 http://dx.doi.org/10.3934/mbe.2020148 Text en This is an open access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0)
spellingShingle Article
Yang, Chayu
Wang, Jin
A mathematical model for the novel coronavirus epidemic in Wuhan, China
title A mathematical model for the novel coronavirus epidemic in Wuhan, China
title_full A mathematical model for the novel coronavirus epidemic in Wuhan, China
title_fullStr A mathematical model for the novel coronavirus epidemic in Wuhan, China
title_full_unstemmed A mathematical model for the novel coronavirus epidemic in Wuhan, China
title_short A mathematical model for the novel coronavirus epidemic in Wuhan, China
title_sort mathematical model for the novel coronavirus epidemic in wuhan, china
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7376496/
https://www.ncbi.nlm.nih.gov/pubmed/32233562
http://dx.doi.org/10.3934/mbe.2020148
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