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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...
Autores principales: | , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
2020
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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 |
_version_ | 1783562054992396288 |
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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. |
format | Online Article Text |
id | pubmed-7376496 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2020 |
record_format | MEDLINE/PubMed |
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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