- Published
- 02 January 2023
- Journal article
Self-isolation and testing behaviour during the Covid-19 pandemic: an agent-based model
- Authors
- Source
- Artificial Life
Full text
Abstract
Since the beginning of the COVID-19 pandemic, various models of virus spread have been proposed. While most of these models focused on the replication of the interaction processes through which the virus is passed on from infected agents to susceptible ones, less effort has been devoted to the process through which agents modify their behaviour as they adapt to the risks posed by the pandemic. Understanding the way agents respond to COVID-19 spread is important, as this behavioural response affects the dynamics of virus spread by modifying interaction patterns. In this article, we present an agent-based model that includes a behavioural module determining agent testing and isolation propensity in order to understand the role of various behavioural parameters in the spread of COVID-19.
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Cite as
Gostoli, U. & Silverman, E. 2023, 'Self-isolation and testing behaviour during the Covid-19 pandemic: an agent-based model', Artificial Life, 29(1), pp. 94-117. https://doi.org/10.1162/artl_a_00392
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- Repository URI
- https://eprints.gla.ac.uk/280087/