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Simulation of COVID-19 spread through family feast gatherings in a complex network

Family feasting during the Spring Festival is a Chinese tradition. However, close contact during this period is likely to promote the spread of coronavirus disease 2019 (COVID-19). This study developed a dynamic infectious disease model in which the feast gatherings of families were considered the s...

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Autores principales: Guo, Zuiyuan, Gong, Lili, Xiao, Guangquan, Wang, Yayu, Xu, Zhiwei, Xiao, Dan
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Cambridge University Press 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8924592/
https://www.ncbi.nlm.nih.gov/pubmed/35234117
http://dx.doi.org/10.1017/S0950268822000292
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author Guo, Zuiyuan
Gong, Lili
Xiao, Guangquan
Wang, Yayu
Xu, Zhiwei
Xiao, Dan
author_facet Guo, Zuiyuan
Gong, Lili
Xiao, Guangquan
Wang, Yayu
Xu, Zhiwei
Xiao, Dan
author_sort Guo, Zuiyuan
collection PubMed
description Family feasting during the Spring Festival is a Chinese tradition. However, close contact during this period is likely to promote the spread of coronavirus disease 2019 (COVID-19). This study developed a dynamic infectious disease model in which the feast gatherings of families were considered the sole mode of transmission. The model simulates COVID-19 transmission via family feast gatherings through a social contact network. First, a kinship-based, virtual social contact network was constructed, with nodes representing families and connections representing kinships. Families in kinship with each other comprised of the largest globally coupled network, also known as a clique, in which a feast gathering was generated by randomly selecting two or more families willing to gather. The social contact network in the model comprised of 215 cliques formed among 608 families with 1517 family members. The modelling results indicated that when there is only one patient on day 0, the number of new infections will reach a peak on day 29, and almost all families and their members in the social contact network will be infected by day 60. This study demonstrated that COVID-19 can spread rapidly through continuous feast gatherings through social contact networks and that the disease will run rampant throughout the network.
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spelling pubmed-89245922022-03-18 Simulation of COVID-19 spread through family feast gatherings in a complex network Guo, Zuiyuan Gong, Lili Xiao, Guangquan Wang, Yayu Xu, Zhiwei Xiao, Dan Epidemiol Infect Original Paper Family feasting during the Spring Festival is a Chinese tradition. However, close contact during this period is likely to promote the spread of coronavirus disease 2019 (COVID-19). This study developed a dynamic infectious disease model in which the feast gatherings of families were considered the sole mode of transmission. The model simulates COVID-19 transmission via family feast gatherings through a social contact network. First, a kinship-based, virtual social contact network was constructed, with nodes representing families and connections representing kinships. Families in kinship with each other comprised of the largest globally coupled network, also known as a clique, in which a feast gathering was generated by randomly selecting two or more families willing to gather. The social contact network in the model comprised of 215 cliques formed among 608 families with 1517 family members. The modelling results indicated that when there is only one patient on day 0, the number of new infections will reach a peak on day 29, and almost all families and their members in the social contact network will be infected by day 60. This study demonstrated that COVID-19 can spread rapidly through continuous feast gatherings through social contact networks and that the disease will run rampant throughout the network. Cambridge University Press 2022-03-02 /pmc/articles/PMC8924592/ /pubmed/35234117 http://dx.doi.org/10.1017/S0950268822000292 Text en © The Author(s) 2022 https://creativecommons.org/licenses/by/4.0/This is an Open Access article, distributed under the terms of the Creative Commons Attribution licence (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted re-use, distribution and reproduction, provided the original article is properly cited.
spellingShingle Original Paper
Guo, Zuiyuan
Gong, Lili
Xiao, Guangquan
Wang, Yayu
Xu, Zhiwei
Xiao, Dan
Simulation of COVID-19 spread through family feast gatherings in a complex network
title Simulation of COVID-19 spread through family feast gatherings in a complex network
title_full Simulation of COVID-19 spread through family feast gatherings in a complex network
title_fullStr Simulation of COVID-19 spread through family feast gatherings in a complex network
title_full_unstemmed Simulation of COVID-19 spread through family feast gatherings in a complex network
title_short Simulation of COVID-19 spread through family feast gatherings in a complex network
title_sort simulation of covid-19 spread through family feast gatherings in a complex network
topic Original Paper
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8924592/
https://www.ncbi.nlm.nih.gov/pubmed/35234117
http://dx.doi.org/10.1017/S0950268822000292
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