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A simple epidemic model for semi-closed community reveals the hidden outbreak risk in nursing homes, prisons, and residential universities

We develop a general SIS model to study the epidemic transmission in such semi-closed communities. The community population is divided into susceptible and infected in terms of the infection state, and concerning the physical structure of the crowd, they are classified into mobile and fixed individu...

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Autor principal: Wang, Chaoqian
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Springer Berlin Heidelberg 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9616437/
https://www.ncbi.nlm.nih.gov/pubmed/36339917
http://dx.doi.org/10.1007/s40435-022-01068-3
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author Wang, Chaoqian
author_facet Wang, Chaoqian
author_sort Wang, Chaoqian
collection PubMed
description We develop a general SIS model to study the epidemic transmission in such semi-closed communities. The community population is divided into susceptible and infected in terms of the infection state, and concerning the physical structure of the crowd, they are classified into mobile and fixed individuals. The mobile individuals can be inside or outside the community, while the fixed individuals can be only inside the community. There are fixed infection sources outside the community, measuring the epidemic severity in society. We attribute the spreading to two reasons: (i) clustered infection among the community population and (ii) the epidemic in society spreading to the community population. We discuss the model in two cases. In the first case, the epidemic spreads in society, such that reasons (i) and (ii) work together. The results show that concerning fixed individuals (e.g. the elderly in nursing homes), a more closed community always promotes the infection. In the second case, there is no epidemic spreading in society, such that only reason (i) works. The results show that restricting all individuals to the community produces equivalent consequences as allowing them going outside the community. We should evenly distribute individuals inside and outside to form isolation. A counterexample is residential universities implementing closed management, where only students are restricted to campus. The model shows such management may lead to severe epidemics, and to prevent the epidemic outbreaks, students should have free access to being on or off campus.
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spelling pubmed-96164372022-10-31 A simple epidemic model for semi-closed community reveals the hidden outbreak risk in nursing homes, prisons, and residential universities Wang, Chaoqian Int J Dyn Control Article We develop a general SIS model to study the epidemic transmission in such semi-closed communities. The community population is divided into susceptible and infected in terms of the infection state, and concerning the physical structure of the crowd, they are classified into mobile and fixed individuals. The mobile individuals can be inside or outside the community, while the fixed individuals can be only inside the community. There are fixed infection sources outside the community, measuring the epidemic severity in society. We attribute the spreading to two reasons: (i) clustered infection among the community population and (ii) the epidemic in society spreading to the community population. We discuss the model in two cases. In the first case, the epidemic spreads in society, such that reasons (i) and (ii) work together. The results show that concerning fixed individuals (e.g. the elderly in nursing homes), a more closed community always promotes the infection. In the second case, there is no epidemic spreading in society, such that only reason (i) works. The results show that restricting all individuals to the community produces equivalent consequences as allowing them going outside the community. We should evenly distribute individuals inside and outside to form isolation. A counterexample is residential universities implementing closed management, where only students are restricted to campus. The model shows such management may lead to severe epidemics, and to prevent the epidemic outbreaks, students should have free access to being on or off campus. Springer Berlin Heidelberg 2022-10-28 /pmc/articles/PMC9616437/ /pubmed/36339917 http://dx.doi.org/10.1007/s40435-022-01068-3 Text en © The Author(s), under exclusive licence to Springer-Verlag GmbH Germany, part of Springer Nature 2022, Springer Nature or its licensor (e.g. a society or other partner) holds exclusive rights to this article under a publishing agreement with the author(s) or other rightsholder(s); author self-archiving of the accepted manuscript version of this article is solely governed by the terms of such publishing agreement and applicable law. This article is made available via the PMC Open Access Subset for unrestricted research re-use and secondary analysis in any form or by any means with acknowledgement of the original source. These permissions are granted for the duration of the World Health Organization (WHO) declaration of COVID-19 as a global pandemic.
spellingShingle Article
Wang, Chaoqian
A simple epidemic model for semi-closed community reveals the hidden outbreak risk in nursing homes, prisons, and residential universities
title A simple epidemic model for semi-closed community reveals the hidden outbreak risk in nursing homes, prisons, and residential universities
title_full A simple epidemic model for semi-closed community reveals the hidden outbreak risk in nursing homes, prisons, and residential universities
title_fullStr A simple epidemic model for semi-closed community reveals the hidden outbreak risk in nursing homes, prisons, and residential universities
title_full_unstemmed A simple epidemic model for semi-closed community reveals the hidden outbreak risk in nursing homes, prisons, and residential universities
title_short A simple epidemic model for semi-closed community reveals the hidden outbreak risk in nursing homes, prisons, and residential universities
title_sort simple epidemic model for semi-closed community reveals the hidden outbreak risk in nursing homes, prisons, and residential universities
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9616437/
https://www.ncbi.nlm.nih.gov/pubmed/36339917
http://dx.doi.org/10.1007/s40435-022-01068-3
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