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The values and limitations of mathematical modelling to COVID-19 in the world: a follow up report

We previously described a mathematical model to simulate the course of the COVID-19 pandemic and try to predict how this outbreak might evolve in the following two months when the pandemic cases will drop significantly. Our original paper prepared in March 2020 analyzed the outbreaks of COVID-19 in...

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Detalles Bibliográficos
Autores principales: Tang, Yuanji, Tang, Sherry, Wang, Shixia
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Taylor & Francis 2020
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7671649/
https://www.ncbi.nlm.nih.gov/pubmed/33121387
http://dx.doi.org/10.1080/22221751.2020.1843973
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author Tang, Yuanji
Tang, Sherry
Wang, Shixia
author_facet Tang, Yuanji
Tang, Sherry
Wang, Shixia
author_sort Tang, Yuanji
collection PubMed
description We previously described a mathematical model to simulate the course of the COVID-19 pandemic and try to predict how this outbreak might evolve in the following two months when the pandemic cases will drop significantly. Our original paper prepared in March 2020 analyzed the outbreaks of COVID-19 in the US and its selected states to identify the rise, peak, and decrease of cases within a given geographic population, as well as a rough calculation of accumulated total cases in this population from the beginning to the end of June 2020. The current report will describe how well the later actual trend from March to June fit our model and prediction. Similar analyses are also conducted to include countries other than the US. From such a wide global data analysis, our results demonstrated that different US states and countries showed dramatically different patterns of pandemic trend. The values and limitations of our modelling are discussed.
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spelling pubmed-76716492020-11-23 The values and limitations of mathematical modelling to COVID-19 in the world: a follow up report Tang, Yuanji Tang, Sherry Wang, Shixia Emerg Microbes Infect Research Article We previously described a mathematical model to simulate the course of the COVID-19 pandemic and try to predict how this outbreak might evolve in the following two months when the pandemic cases will drop significantly. Our original paper prepared in March 2020 analyzed the outbreaks of COVID-19 in the US and its selected states to identify the rise, peak, and decrease of cases within a given geographic population, as well as a rough calculation of accumulated total cases in this population from the beginning to the end of June 2020. The current report will describe how well the later actual trend from March to June fit our model and prediction. Similar analyses are also conducted to include countries other than the US. From such a wide global data analysis, our results demonstrated that different US states and countries showed dramatically different patterns of pandemic trend. The values and limitations of our modelling are discussed. Taylor & Francis 2020-11-14 /pmc/articles/PMC7671649/ /pubmed/33121387 http://dx.doi.org/10.1080/22221751.2020.1843973 Text en © 2020 The Author(s). Published by Informa UK Limited, trading as Taylor & Francis Group 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 Research Article
Tang, Yuanji
Tang, Sherry
Wang, Shixia
The values and limitations of mathematical modelling to COVID-19 in the world: a follow up report
title The values and limitations of mathematical modelling to COVID-19 in the world: a follow up report
title_full The values and limitations of mathematical modelling to COVID-19 in the world: a follow up report
title_fullStr The values and limitations of mathematical modelling to COVID-19 in the world: a follow up report
title_full_unstemmed The values and limitations of mathematical modelling to COVID-19 in the world: a follow up report
title_short The values and limitations of mathematical modelling to COVID-19 in the world: a follow up report
title_sort values and limitations of mathematical modelling to covid-19 in the world: a follow up report
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7671649/
https://www.ncbi.nlm.nih.gov/pubmed/33121387
http://dx.doi.org/10.1080/22221751.2020.1843973
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