Modelling Singapore COVID-19 pandemic with a SEIR multiplex network model

Abstract In this paper, we have implemented a large-scale agent-based model to study the outbreak of coronavirus infectious diseases (COVID-19) in Singapore, taking into account complex human interaction pattern. In particular, the concept of multiplex network is utilized to differentiate between so...

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Autores principales:	N. N. Chung, L. Y. Chew
Formato:	article
Lenguaje:	EN
Publicado:	Nature Portfolio 2021
Materias:	Medicine R Science Q
Acceso en línea:	https://doaj.org/article/f0934c06a54f4e0a8ad11f2b523628bd
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spelling	oai:doaj.org-article:f0934c06a54f4e0a8ad11f2b523628bd2021-12-02T15:42:59ZModelling Singapore COVID-19 pandemic with a SEIR multiplex network model10.1038/s41598-021-89515-72045-2322https://doaj.org/article/f0934c06a54f4e0a8ad11f2b523628bd2021-05-01T00:00:00Zhttps://doi.org/10.1038/s41598-021-89515-7https://doaj.org/toc/2045-2322Abstract In this paper, we have implemented a large-scale agent-based model to study the outbreak of coronavirus infectious diseases (COVID-19) in Singapore, taking into account complex human interaction pattern. In particular, the concept of multiplex network is utilized to differentiate between social interactions that happen in households and workplaces. In addition, weak interactions among crowds, transient interactions within social gatherings, and dense human contact between foreign workers in dormitories are also taken into consideration. Such a categorization in terms of a multiplex of social network connections together with the Susceptible-Exposed-Infectious-Removed (SEIR) epidemic model have enabled a more precise study of the feasibility and efficacy of control measures such as social distancing, work from home, and lockdown, at different moments and stages of the pandemics. Using this model, we study an epidemic outbreak that occurs within densely populated residential areas in Singapore. Our simulations show that residents in densely populated areas could be infected easily, even though they constitute a very small fraction of the whole population. Once infection begins in these areas, disease spreading is uncontrollable if appropriate control measures are not implemented.N. N. ChungL. Y. ChewNature PortfolioarticleMedicineRScienceQENScientific Reports, Vol 11, Iss 1, Pp 1-9 (2021)
institution	DOAJ
collection	DOAJ
language	EN
topic	Medicine R Science Q
spellingShingle	Medicine R Science Q N. N. Chung L. Y. Chew Modelling Singapore COVID-19 pandemic with a SEIR multiplex network model
description	Abstract In this paper, we have implemented a large-scale agent-based model to study the outbreak of coronavirus infectious diseases (COVID-19) in Singapore, taking into account complex human interaction pattern. In particular, the concept of multiplex network is utilized to differentiate between social interactions that happen in households and workplaces. In addition, weak interactions among crowds, transient interactions within social gatherings, and dense human contact between foreign workers in dormitories are also taken into consideration. Such a categorization in terms of a multiplex of social network connections together with the Susceptible-Exposed-Infectious-Removed (SEIR) epidemic model have enabled a more precise study of the feasibility and efficacy of control measures such as social distancing, work from home, and lockdown, at different moments and stages of the pandemics. Using this model, we study an epidemic outbreak that occurs within densely populated residential areas in Singapore. Our simulations show that residents in densely populated areas could be infected easily, even though they constitute a very small fraction of the whole population. Once infection begins in these areas, disease spreading is uncontrollable if appropriate control measures are not implemented.
format	article
author	N. N. Chung L. Y. Chew
author_facet	N. N. Chung L. Y. Chew
author_sort	N. N. Chung
title	Modelling Singapore COVID-19 pandemic with a SEIR multiplex network model
title_short	Modelling Singapore COVID-19 pandemic with a SEIR multiplex network model
title_full	Modelling Singapore COVID-19 pandemic with a SEIR multiplex network model
title_fullStr	Modelling Singapore COVID-19 pandemic with a SEIR multiplex network model
title_full_unstemmed	Modelling Singapore COVID-19 pandemic with a SEIR multiplex network model
title_sort	modelling singapore covid-19 pandemic with a seir multiplex network model
publisher	Nature Portfolio
publishDate	2021
url	https://doaj.org/article/f0934c06a54f4e0a8ad11f2b523628bd
work_keys_str_mv	AT nnchung modellingsingaporecovid19pandemicwithaseirmultiplexnetworkmodel AT lychew modellingsingaporecovid19pandemicwithaseirmultiplexnetworkmodel
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Modelling Singapore COVID-19 pandemic with a SEIR multiplex network model

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