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Agent-based Social Simulation of the Covid-19 Pandemic: A Systematic Review
Malmö University, Faculty of Technology and Society (TS), Department of Computer Science and Media Technology (DVMT).ORCID iD: 0000-0002-8209-0921
Malmö University, Faculty of Technology and Society (TS), Department of Computer Science and Media Technology (DVMT).
Malmö University, Faculty of Technology and Society (TS), Department of Computer Science and Media Technology (DVMT).ORCID iD: 0000-0003-0998-6585
2021 (English)In: JASSS: Journal of Artificial Societies and Social Simulation, E-ISSN 1460-7425, Vol. 24, no 3, article id 5Article, review/survey (Refereed) Published
Abstract [en]

When planning interventions to limit the spread of Covid-19, the current state of knowledge about the disease and specific characteristics of the population need to be considered. Simulations can facilitate policy making as they take prevailing circumstances into account. Moreover, they allow for the investigation of the potential effects of different interventions using an artificial population. Agent-based Social Simulation (ABSS) is argued to be particularly useful as it can capture the behavior of and interactions between individuals. We performed a systematic literature reviewand identified 126 articles that describe ABSS of Covid-19 transmission processes. Our reviewshowed that ABSS is widely used for investigating the spread of Covid-19. Existing models are very heterogeneous with respect to their purpose, the number of simulated individuals, and the modeled geographical region, as well as how they model transmission dynamics, disease states, human behavior, and interventions. To this end, a discrepancy can be identified between the needs of policy makers and what is implemented by the simulation models. This also includes how thoroughly the models consider and represent the real world, e.g. in terms of factors that affect the transmission probability or how humans make decisions. Shortcomingswere also identified in the transparency of the presented models, e.g. in terms of documentation or availability, as well as in their validation, which might limit their suitability for supporting decision-making processes. We discuss how these issues can be mitigated to further establish ABSS as a powerful tool for crisis management.

Place, publisher, year, edition, pages
JASSS , 2021. Vol. 24, no 3, article id 5
Keywords [en]
SARS-CoV-2, Transmission Processes, Epidemiology, Non-Pharmaceutical Interventions, Literature Study, PRISMA
National Category
Public Health, Global Health, Social Medicine and Epidemiology Computer Sciences
Identifiers
URN: urn:nbn:se:mau:diva-44859DOI: 10.18564/jasss.4601ISI: 000668484000004Scopus ID: 2-s2.0-85110373326OAI: oai:DiVA.org:mau-44859DiVA, id: diva2:1585458
Available from: 2021-08-17 Created: 2021-08-17 Last updated: 2024-02-05Bibliographically approved

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Lorig, FabianJohansson, EmilDavidsson, Paul

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Public Health, Global Health, Social Medicine and EpidemiologyComputer Sciences

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