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Mathematic modeling of COVID-19 in the United States

COVID-19, the worst pandemic in 100 years, has rapidly spread to the entire world in 2 months since its early report in January 2020. Based on the publicly available data sources, we developed a simple mathematic modeling approach to track the outbreaks of COVID-19 in the US and three selected state...

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Detalles Bibliográficos
Autores principales: Tang, Yuanji, Wang, Shixia
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Taylor & Francis 2020
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7241447/
https://www.ncbi.nlm.nih.gov/pubmed/32338150
http://dx.doi.org/10.1080/22221751.2020.1760146
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author Tang, Yuanji
Wang, Shixia
author_facet Tang, Yuanji
Wang, Shixia
author_sort Tang, Yuanji
collection PubMed
description COVID-19, the worst pandemic in 100 years, has rapidly spread to the entire world in 2 months since its early report in January 2020. Based on the publicly available data sources, we developed a simple mathematic modeling approach to track the outbreaks of COVID-19 in the US and three selected states: New York, Michigan and California. The same approach is applicable to other regions or countries. We hope our work can stimulate more effort in understanding how an outbreak is developing and how big a scope it can be and in what kind of time framework. Such information is critical for outbreak control, resource utilization and re-opening of the normal daily life to citizens in the affected community.
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spelling pubmed-72414472020-06-01 Mathematic modeling of COVID-19 in the United States Tang, Yuanji Wang, Shixia Emerg Microbes Infect Letter COVID-19, the worst pandemic in 100 years, has rapidly spread to the entire world in 2 months since its early report in January 2020. Based on the publicly available data sources, we developed a simple mathematic modeling approach to track the outbreaks of COVID-19 in the US and three selected states: New York, Michigan and California. The same approach is applicable to other regions or countries. We hope our work can stimulate more effort in understanding how an outbreak is developing and how big a scope it can be and in what kind of time framework. Such information is critical for outbreak control, resource utilization and re-opening of the normal daily life to citizens in the affected community. Taylor & Francis 2020-04-30 /pmc/articles/PMC7241447/ /pubmed/32338150 http://dx.doi.org/10.1080/22221751.2020.1760146 Text en © 2020 The Author(s). Published by Informa UK Limited, trading as Taylor & Francis Group, on behalf of Shanghai Shangyixun Cultural Communication Co., Ltd https://creativecommons.org/licenses/by/4.0/This is an Open Access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) ), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
spellingShingle Letter
Tang, Yuanji
Wang, Shixia
Mathematic modeling of COVID-19 in the United States
title Mathematic modeling of COVID-19 in the United States
title_full Mathematic modeling of COVID-19 in the United States
title_fullStr Mathematic modeling of COVID-19 in the United States
title_full_unstemmed Mathematic modeling of COVID-19 in the United States
title_short Mathematic modeling of COVID-19 in the United States
title_sort mathematic modeling of covid-19 in the united states
topic Letter
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7241447/
https://www.ncbi.nlm.nih.gov/pubmed/32338150
http://dx.doi.org/10.1080/22221751.2020.1760146
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