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Epidemic modeling for the resurgence of COVID-19 in Chinese local communities

COVID-19 is a constantly challenging global health issue due to its strong intensity, rapid mutation and high infectiousness. The new Delta and Omicron variants have triggered massive outbreaks worldwide. Even China, which has done a good job in outbreak prevention, is still heavily affected by the...

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Detalles Bibliográficos
Autores principales: Peng, Min, Zhang, Jianing, Gong, Jingrui, Ran, Xingqi, Liu, Jvlu, Zhang, Lin
Formato: Online Artículo Texto
Lenguaje:English
Publicado: China Science Publishing & Media Ltd. Publishing Services by Elsevier B.V. on behalf of KeAi Communications Co. Ltd. 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9085441/
http://dx.doi.org/10.1016/j.jnlssr.2022.03.005
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author Peng, Min
Zhang, Jianing
Gong, Jingrui
Ran, Xingqi
Liu, Jvlu
Zhang, Lin
author_facet Peng, Min
Zhang, Jianing
Gong, Jingrui
Ran, Xingqi
Liu, Jvlu
Zhang, Lin
author_sort Peng, Min
collection PubMed
description COVID-19 is a constantly challenging global health issue due to its strong intensity, rapid mutation and high infectiousness. The new Delta and Omicron variants have triggered massive outbreaks worldwide. Even China, which has done a good job in outbreak prevention, is still heavily affected by the virus. The long-term fight against multiple COVID-19 outbreaks is ongoing. In this study, we propose an SEIQR model that considers the incubation period and quarantine measurement. We verified our model using actual outbreak data from four Chinese cities. Numerical simulations show that a five-day delay results in a double resurgence scale. Our model can be used as a tool to understand the spread of the virus quantitatively and provide a reference for policymaking accordingly.
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spelling pubmed-90854412022-05-10 Epidemic modeling for the resurgence of COVID-19 in Chinese local communities Peng, Min Zhang, Jianing Gong, Jingrui Ran, Xingqi Liu, Jvlu Zhang, Lin Journal of Safety Science and Resilience Article COVID-19 is a constantly challenging global health issue due to its strong intensity, rapid mutation and high infectiousness. The new Delta and Omicron variants have triggered massive outbreaks worldwide. Even China, which has done a good job in outbreak prevention, is still heavily affected by the virus. The long-term fight against multiple COVID-19 outbreaks is ongoing. In this study, we propose an SEIQR model that considers the incubation period and quarantine measurement. We verified our model using actual outbreak data from four Chinese cities. Numerical simulations show that a five-day delay results in a double resurgence scale. Our model can be used as a tool to understand the spread of the virus quantitatively and provide a reference for policymaking accordingly. China Science Publishing & Media Ltd. Publishing Services by Elsevier B.V. on behalf of KeAi Communications Co. Ltd. 2022-09 2022-05-10 /pmc/articles/PMC9085441/ http://dx.doi.org/10.1016/j.jnlssr.2022.03.005 Text en © 2022 China Science Publishing & Media Ltd. Publishing Services by Elsevier B.V. on behalf of KeAi Communications Co. Ltd. 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
Peng, Min
Zhang, Jianing
Gong, Jingrui
Ran, Xingqi
Liu, Jvlu
Zhang, Lin
Epidemic modeling for the resurgence of COVID-19 in Chinese local communities
title Epidemic modeling for the resurgence of COVID-19 in Chinese local communities
title_full Epidemic modeling for the resurgence of COVID-19 in Chinese local communities
title_fullStr Epidemic modeling for the resurgence of COVID-19 in Chinese local communities
title_full_unstemmed Epidemic modeling for the resurgence of COVID-19 in Chinese local communities
title_short Epidemic modeling for the resurgence of COVID-19 in Chinese local communities
title_sort epidemic modeling for the resurgence of covid-19 in chinese local communities
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9085441/
http://dx.doi.org/10.1016/j.jnlssr.2022.03.005
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