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Mathematical model of infection kinetics and its analysis for COVID-19, SARS and MERS
The purpose of this paper is to reveal the spread rules of the three pneumonia: COVID-19, SARS and MERS. We compare the new spread characteristics of COVID-19 with those of SARS and MERS. By considering the growth rate and inhibition constant of infectious diseases, their propagation growth model is...
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Formato: | Online Artículo Texto |
Lenguaje: | English |
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Elsevier B.V.
2020
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Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7141629/ https://www.ncbi.nlm.nih.gov/pubmed/32278147 http://dx.doi.org/10.1016/j.meegid.2020.104306 |
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author | Liang, Kaihao |
author_facet | Liang, Kaihao |
author_sort | Liang, Kaihao |
collection | PubMed |
description | The purpose of this paper is to reveal the spread rules of the three pneumonia: COVID-19, SARS and MERS. We compare the new spread characteristics of COVID-19 with those of SARS and MERS. By considering the growth rate and inhibition constant of infectious diseases, their propagation growth model is established. The parameters of the three coronavirus transmission growth models are obtained by nonlinear fitting. Parametric analysis shows that the growth rate of COVID-19 is about twice that of the SARS and MERS, and the COVID-19 doubling cycle is two to three days, suggesting that the number of COVID-19 patients would double in two to three days without human intervention. The infection inhibition constant in Hubei is two orders of magnitude lower than in other regions, which reasonably explains the situation of the COVID-19 outbreak in Hubei. |
format | Online Article Text |
id | pubmed-7141629 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2020 |
publisher | Elsevier B.V. |
record_format | MEDLINE/PubMed |
spelling | pubmed-71416292020-04-09 Mathematical model of infection kinetics and its analysis for COVID-19, SARS and MERS Liang, Kaihao Infect Genet Evol Article The purpose of this paper is to reveal the spread rules of the three pneumonia: COVID-19, SARS and MERS. We compare the new spread characteristics of COVID-19 with those of SARS and MERS. By considering the growth rate and inhibition constant of infectious diseases, their propagation growth model is established. The parameters of the three coronavirus transmission growth models are obtained by nonlinear fitting. Parametric analysis shows that the growth rate of COVID-19 is about twice that of the SARS and MERS, and the COVID-19 doubling cycle is two to three days, suggesting that the number of COVID-19 patients would double in two to three days without human intervention. The infection inhibition constant in Hubei is two orders of magnitude lower than in other regions, which reasonably explains the situation of the COVID-19 outbreak in Hubei. Elsevier B.V. 2020-08 2020-04-08 /pmc/articles/PMC7141629/ /pubmed/32278147 http://dx.doi.org/10.1016/j.meegid.2020.104306 Text en © 2020 Elsevier B.V. All rights reserved. Since January 2020 Elsevier has created a COVID-19 resource centre with free information in English and Mandarin on the novel coronavirus COVID-19. The COVID-19 resource centre is hosted on Elsevier Connect, the company's public news and information website. Elsevier hereby grants permission to make all its COVID-19-related research that is available on the COVID-19 resource centre - including this research content - immediately available in PubMed Central and other publicly funded repositories, such as the WHO COVID database with rights for unrestricted research re-use and analyses in any form or by any means with acknowledgement of the original source. These permissions are granted for free by Elsevier for as long as the COVID-19 resource centre remains active. |
spellingShingle | Article Liang, Kaihao Mathematical model of infection kinetics and its analysis for COVID-19, SARS and MERS |
title | Mathematical model of infection kinetics and its analysis for COVID-19, SARS and MERS |
title_full | Mathematical model of infection kinetics and its analysis for COVID-19, SARS and MERS |
title_fullStr | Mathematical model of infection kinetics and its analysis for COVID-19, SARS and MERS |
title_full_unstemmed | Mathematical model of infection kinetics and its analysis for COVID-19, SARS and MERS |
title_short | Mathematical model of infection kinetics and its analysis for COVID-19, SARS and MERS |
title_sort | mathematical model of infection kinetics and its analysis for covid-19, sars and mers |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7141629/ https://www.ncbi.nlm.nih.gov/pubmed/32278147 http://dx.doi.org/10.1016/j.meegid.2020.104306 |
work_keys_str_mv | AT liangkaihao mathematicalmodelofinfectionkineticsanditsanalysisforcovid19sarsandmers |