An interaction-oriented multi-agent sir model to assess the spread of sars-cov-2

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dc.authorid0000-0003-0357-9495en_US
dc.authorscopusid36937571700en_US
dc.contributor.authorAltun, Koray
dc.contributor.authorAltuntas S.
dc.contributor.authorDereli T.
dc.date.accessioned2022-04-01T11:48:43Z
dc.date.available2022-04-01T11:48:43Z
dc.date.issued2021en_US
dc.departmentBTÜ, Mühendislik ve Doğa Bilimleri Fakültesi, Endüstri Mühendisliği Bölümüen_US
dc.description.abstractIt is important to recognize that the dynamics of each country are different. There-fore, the SARS-CoV-2 (COVID-19) pandemic necessitates each country to act locally, but keep thinking globally. Governments have a responsibility to manage their limited resources optimally while struggling with this pandemic. Managing the trade-offs re-garding these dynamics requires some sophisticated models. “Agent-based simulation” is a powerful tool to create such kind of models. Correspondingly, this study addresses the spread of COVID-19 employing an interaction-oriented multi-agent SIR (Susceptible-Infected-Recovered) model. This model is based on the scale-free networks (incorporat-ing 10, 000 nodes) and it runs some experimental scenarios to analyze the main effects and the interactions of “average-node-degree”, “initial-outbreak-size”, “spread-chance”, “recovery-chance”, and “gain-resistance” factors on “average-duration (of the pandemic last)”, “average-percentage of infected”, “maximum-percentage of infected”, and “the expected peak-time”. Obtained results from this work can assist determining the correct tactical responses of partial lockdown.en_US
dc.identifier.doi10.15672/HUJMS.751734en_US
dc.identifier.endpage1559en_US
dc.identifier.issn2651477X
dc.identifier.issue5en_US
dc.identifier.scopusqualityN/Aen_US
dc.identifier.startpage1548en_US
dc.identifier.urihttps://hdl.handle.net/20.500.12885/1834
dc.identifier.volume50en_US
dc.identifier.wosqualityN/Aen_US
dc.indekslendigikaynakWeb of Scienceen_US
dc.indekslendigikaynakScopusen_US
dc.institutionauthorAltun, Koray
dc.language.isotren_US
dc.publisherHacettepe Universityen_US
dc.relation.ispartofHacettepe Journal of Mathematics and Statisticsen_US
dc.relation.publicationcategoryMakale - Uluslararası Hakemli Dergi - Kurum Öğretim Elemanıen_US
dc.rightsinfo:eu-repo/semantics/openAccessen_US
dc.subjectAgent-based simulationen_US
dc.subjectMulti-agent SIR modelen_US
dc.subjectSARS-CoV-2 (COVID-19)en_US
dc.titleAn interaction-oriented multi-agent sir model to assess the spread of sars-cov-2en_US
dc.typeArticleen_US

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