The Pandemics in Artificial Society: Agent-Based Model to Reflect Strategies on COVID-19

Hokky Situngkir and Andika Bernad Lumbantobing

MPRA Paper from University Library of Munich, Germany

Abstract: Various social policies and strategies have been deliberated and used within many countries to handle the COVID-19 pandemic. Some of those basic ideas are strongly related to the understanding of human social interactions and the nature of disease transmission and spread. In this paper, we present an agent-based approach to model epidemiological phenomena as well as the interventions upon it. We elaborate on micro-social structures such as social-psychological factors and distributed ruling behaviors to grow an artificial society where the interactions among agents may exhibit the spreading of the virus. Capturing policies and strategies during the pandemic, four types of intervention are also applied in society. Emerged macro-properties of epidemics are delivered from sets of simulations, lead to comparisons between each policy/strategy’s effectivity.

Keywords: COVID-19; coronavirus disease; policy; pandemic; social simulations; artificial society; agent-based modeling. (search for similar items in EconPapers)
JEL-codes: C9 C99 H89 I1 I18 R0 Z18 (search for similar items in EconPapers)
Date: 2020-07-26
New Economics Papers: this item is included in nep-cmp and nep-hme
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Persistent link: https://EconPapers.repec.org/RePEc:pra:mprapa:102075

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