Pandemic Simulator: An Agent-Based Framework with Human Behavior Modeling for Pandemic-Impact Assessment to Build Sustainable Communities

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dc.contributor.authorWeligampola, Harshanaen
dc.contributor.authorRamanayake, Lakshithaen
dc.contributor.authorRanasinghe, Yasiruen
dc.contributor.authorIlangarathna, Gayanthien
dc.contributor.authorSenarath, Neranjanen
dc.contributor.authorSamarakoon, Bhagyaen
dc.contributor.authorGodaliyadda, Roshanen
dc.contributor.authorHerath, Vijithaen
dc.contributor.authorEkanayake, Parakramaen
dc.contributor.authorEkanayake, Janakaen
dc.contributor.authorMaheswaran, Muthucumaruen
dc.contributor.authorTheminimulle, Sandyaen
dc.contributor.authorRathnayake, Anuruddhikaen
dc.contributor.authorDharmaratne, Samathen
dc.contributor.authorPinnawala, Mallikaen
dc.contributor.authorYatigammana, Sakunthalaen
dc.contributor.authorTilakaratne, Gangaen
dc.date.accessioned2023-07-28T14:47:08Zen
dc.date.available2023-07-28T14:47:08Zen
dc.date.issued2023-07-17en
dc.date.updated2023-07-28T12:22:00Zen
dc.description.abstractIt is crucial to immediately curb the spread of a disease once an outbreak is identified in a pandemic. An agent-based simulator will enable policymakers to evaluate the effectiveness of different hypothetical strategies and policies with a higher level of granularity. This will allow them to identify vulnerabilities and asses the threat level more effectively, which in turn can be used to build resilience within the community against a pandemic. This study proposes a PanDemic SIMulator (PDSIM), which is capable of modeling complex environments while simulating realistic human motion patterns. The ability of the PDSIM to track the infection propagation patterns, contact paths, places visited, characteristics of people, vaccination, and testing information of the population allows the user to check the efficacy of different containment strategies and testing protocols. The results obtained based on the case studies of COVID-19 are used to validate the proposed model. However, they are highly extendable to all pandemics in general, enabling robust planning for more sustainable communities.en
dc.description.versionPublished versionen
dc.format.mimetypeapplication/pdfen
dc.identifier.citationWeligampola, H.; Ramanayake, L.; Ranasinghe, Y.; Ilangarathna, G.; Senarath, N.; Samarakoon, B.; Godaliyadda, R.; Herath, V.; Ekanayake, P.; Ekanayake, J.; Maheswaran, M.; Theminimulle, S.; Rathnayake, A.; Dharmaratne, S.; Pinnawala, M.; Yatigammana, S.; Tilakaratne, G. Pandemic Simulator: An Agent-Based Framework with Human Behavior Modeling for Pandemic-Impact Assessment to Build Sustainable Communities. Sustainability 2023, 15, 11120.en
dc.identifier.doihttps://doi.org/10.3390/su151411120en
dc.identifier.urihttp://hdl.handle.net/10919/115918en
dc.language.isoenen
dc.publisherMDPIen
dc.rightsCreative Commons Attribution 4.0 Internationalen
dc.rights.urihttp://creativecommons.org/licenses/by/4.0/en
dc.subjectCOVID-19en
dc.subjectpandemicen
dc.subjectagent-based models (ABM)en
dc.subjecthuman movement modelingen
dc.subjectenvironment modelingen
dc.subjectdisease propagation and containmenten
dc.titlePandemic Simulator: An Agent-Based Framework with Human Behavior Modeling for Pandemic-Impact Assessment to Build Sustainable Communitiesen
dc.title.serialSustainabilityen
dc.typeArticle - Refereeden
dc.type.dcmitypeTexten

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