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A COVID-19 epidemic model with latency period
At the beginning of a COVID-19 infection, there is a period of time known as the exposed or latency period, before an infected person is capable of transmitting the infection to another person. We develop two differential equations models to account for this period. The first is a model that incorpo...
Autores principales: | , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
KeAi Publishing
2020
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7186134/ https://www.ncbi.nlm.nih.gov/pubmed/32346664 http://dx.doi.org/10.1016/j.idm.2020.03.003 |
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author | Liu, Z. Magal, P. Seydi, O. Webb, G. |
author_facet | Liu, Z. Magal, P. Seydi, O. Webb, G. |
author_sort | Liu, Z. |
collection | PubMed |
description | At the beginning of a COVID-19 infection, there is a period of time known as the exposed or latency period, before an infected person is capable of transmitting the infection to another person. We develop two differential equations models to account for this period. The first is a model that incorporates infected persons in the exposed class, before transmission is possible. The second is a model that incorporates a time delay in infected persons, before transmission is possible. We apply both models to the COVID-19 epidemic in China. We estimate the epidemiological parameters in the models, such as the transmission rate and the basic reproductive number, using data of reported cases. We thus evaluate the role of the exposed or latency period in the dynamics of a COVID-19 epidemic. |
format | Online Article Text |
id | pubmed-7186134 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2020 |
publisher | KeAi Publishing |
record_format | MEDLINE/PubMed |
spelling | pubmed-71861342020-05-22 A COVID-19 epidemic model with latency period Liu, Z. Magal, P. Seydi, O. Webb, G. Infect Dis Model Special issue on Modelling and Forecasting the 2019 Novel Coronavirus (2019-nCoV) Transmission; Edited by Prof. Carlos Castillo-Chavez, Prof. Gerardo Chowell-Puente, Prof. Ping Yan, Prof. Jianhong Wu At the beginning of a COVID-19 infection, there is a period of time known as the exposed or latency period, before an infected person is capable of transmitting the infection to another person. We develop two differential equations models to account for this period. The first is a model that incorporates infected persons in the exposed class, before transmission is possible. The second is a model that incorporates a time delay in infected persons, before transmission is possible. We apply both models to the COVID-19 epidemic in China. We estimate the epidemiological parameters in the models, such as the transmission rate and the basic reproductive number, using data of reported cases. We thus evaluate the role of the exposed or latency period in the dynamics of a COVID-19 epidemic. KeAi Publishing 2020-04-28 /pmc/articles/PMC7186134/ /pubmed/32346664 http://dx.doi.org/10.1016/j.idm.2020.03.003 Text en © 2020 The Authors http://creativecommons.org/licenses/by-nc-nd/4.0/ This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/). |
spellingShingle | Special issue on Modelling and Forecasting the 2019 Novel Coronavirus (2019-nCoV) Transmission; Edited by Prof. Carlos Castillo-Chavez, Prof. Gerardo Chowell-Puente, Prof. Ping Yan, Prof. Jianhong Wu Liu, Z. Magal, P. Seydi, O. Webb, G. A COVID-19 epidemic model with latency period |
title | A COVID-19 epidemic model with latency period |
title_full | A COVID-19 epidemic model with latency period |
title_fullStr | A COVID-19 epidemic model with latency period |
title_full_unstemmed | A COVID-19 epidemic model with latency period |
title_short | A COVID-19 epidemic model with latency period |
title_sort | covid-19 epidemic model with latency period |
topic | Special issue on Modelling and Forecasting the 2019 Novel Coronavirus (2019-nCoV) Transmission; Edited by Prof. Carlos Castillo-Chavez, Prof. Gerardo Chowell-Puente, Prof. Ping Yan, Prof. Jianhong Wu |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7186134/ https://www.ncbi.nlm.nih.gov/pubmed/32346664 http://dx.doi.org/10.1016/j.idm.2020.03.003 |
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