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Evaluation and prediction of the COVID-19 variations at different input population and quarantine strategies, a case study in Guangdong province, China

In this study, an epidemic model was developed to simulate and predict the disease variations of Guangdong province which was focused on the period from Jan 27 to Feb 20, 2020. To explore the impacts of the input population and quarantine strategies on the disease variations at different scenarios,...

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Autores principales: Hu, Zengyun, Cui, Qianqian, Han, Junmei, Wang, Xia, Sha, Wei E.I., Teng, Zhidong
Formato: Online Artículo Texto
Lenguaje:English
Publicado: The Author(s). Published by Elsevier Ltd on behalf of International Society for Infectious Diseases. 2020
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7175914/
https://www.ncbi.nlm.nih.gov/pubmed/32334117
http://dx.doi.org/10.1016/j.ijid.2020.04.010
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author Hu, Zengyun
Cui, Qianqian
Han, Junmei
Wang, Xia
Sha, Wei E.I.
Teng, Zhidong
author_facet Hu, Zengyun
Cui, Qianqian
Han, Junmei
Wang, Xia
Sha, Wei E.I.
Teng, Zhidong
author_sort Hu, Zengyun
collection PubMed
description In this study, an epidemic model was developed to simulate and predict the disease variations of Guangdong province which was focused on the period from Jan 27 to Feb 20, 2020. To explore the impacts of the input population and quarantine strategies on the disease variations at different scenarios, four time points were assumed as Feb 6, Feb 16, Feb 24 and Mar 5 2020. The major results suggest that our model can well capture the disease variations with high accuracy. The simulated peak value of the confirmed cases is 1002 at Feb 10, 2020 which is mostly close to the reported number of 1007 at Feb 9, 2020. The disease will become extinction with peak value of 1397 at May 11, 2020. Moreover, the increased numbers of the input population can mainly shorten the disease extinction days and the increased percentages of the exposed individuals of the input population increase the number of cumulative confirmed cases at a small percentage. Increasing the input population and decreasing the quarantine strategy together around the time point of the peak value of the confirmed cases, may lead to the second outbreak.
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spelling pubmed-71759142020-04-22 Evaluation and prediction of the COVID-19 variations at different input population and quarantine strategies, a case study in Guangdong province, China Hu, Zengyun Cui, Qianqian Han, Junmei Wang, Xia Sha, Wei E.I. Teng, Zhidong Int J Infect Dis Article In this study, an epidemic model was developed to simulate and predict the disease variations of Guangdong province which was focused on the period from Jan 27 to Feb 20, 2020. To explore the impacts of the input population and quarantine strategies on the disease variations at different scenarios, four time points were assumed as Feb 6, Feb 16, Feb 24 and Mar 5 2020. The major results suggest that our model can well capture the disease variations with high accuracy. The simulated peak value of the confirmed cases is 1002 at Feb 10, 2020 which is mostly close to the reported number of 1007 at Feb 9, 2020. The disease will become extinction with peak value of 1397 at May 11, 2020. Moreover, the increased numbers of the input population can mainly shorten the disease extinction days and the increased percentages of the exposed individuals of the input population increase the number of cumulative confirmed cases at a small percentage. Increasing the input population and decreasing the quarantine strategy together around the time point of the peak value of the confirmed cases, may lead to the second outbreak. The Author(s). Published by Elsevier Ltd on behalf of International Society for Infectious Diseases. 2020-06 2020-04-22 /pmc/articles/PMC7175914/ /pubmed/32334117 http://dx.doi.org/10.1016/j.ijid.2020.04.010 Text en © 2020 The Author(s) 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
Hu, Zengyun
Cui, Qianqian
Han, Junmei
Wang, Xia
Sha, Wei E.I.
Teng, Zhidong
Evaluation and prediction of the COVID-19 variations at different input population and quarantine strategies, a case study in Guangdong province, China
title Evaluation and prediction of the COVID-19 variations at different input population and quarantine strategies, a case study in Guangdong province, China
title_full Evaluation and prediction of the COVID-19 variations at different input population and quarantine strategies, a case study in Guangdong province, China
title_fullStr Evaluation and prediction of the COVID-19 variations at different input population and quarantine strategies, a case study in Guangdong province, China
title_full_unstemmed Evaluation and prediction of the COVID-19 variations at different input population and quarantine strategies, a case study in Guangdong province, China
title_short Evaluation and prediction of the COVID-19 variations at different input population and quarantine strategies, a case study in Guangdong province, China
title_sort evaluation and prediction of the covid-19 variations at different input population and quarantine strategies, a case study in guangdong province, china
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7175914/
https://www.ncbi.nlm.nih.gov/pubmed/32334117
http://dx.doi.org/10.1016/j.ijid.2020.04.010
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