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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...
Autores principales: | , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Taylor & Francis
2020
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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. |
format | Online Article Text |
id | pubmed-7671649 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2020 |
publisher | Taylor & Francis |
record_format | MEDLINE/PubMed |
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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