Self-isolation and testing behaviour during the COVID-19 pandemic: an agent-based model

Gostoli, U. and Silverman, E. (2023) Self-isolation and testing behaviour during the COVID-19 pandemic: an agent-based model. Artificial Life, 29(1), pp. 94-117. (doi: 10.1162/artl_a_00392) (PMID:36269874)

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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.

Item Type:Articles
Additional Information:Umberto Gostoli and Eric Silverman are part of the Complexity in Health Improvement Programme supported by the Medical Research Council (MC_UU_00022/1) and the Chief Scientist Office (SPHSU16). This work was also supported by UK Prevention Research Partnership MR/S037594/1, which is funded by the the UK Research Councils, leading health charities, devolved administrations and the Department of Health and Social Care.
Keywords:COVID-19, self-isolation, testing, agent-based modelling.
Status:Published
Refereed:Yes
Glasgow Author(s) Enlighten ID:Silverman, Dr Eric and Gostoli, Dr Umberto
Authors: Gostoli, U., and Silverman, E.
College/School:College of Medical Veterinary and Life Sciences > School of Health & Wellbeing > MRC/CSO SPHSU
Journal Name:Artificial Life
Publisher:MIT Press
ISSN:1064-5462
ISSN (Online):1530-9185
Published Online:21 October 2022
Copyright Holders:Copyright © 2022 Massachusetts Institute of Technology
First Published:First published in Artificial Life 29(1): 94-117
Publisher Policy:Reproduced under a Creative Commons License

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Project CodeAward NoProject NamePrincipal InvestigatorFunder's NameFunder RefLead Dept
3048231Complexity in healthSharon SimpsonMedical Research Council (MRC)MC_UU_00022/1HW - MRC/CSO Social and Public Health Sciences Unit
3048231Complexity in healthSharon SimpsonOffice of the Chief Scientific Adviser (CSO)SPHSU16HW - MRC/CSO Social and Public Health Sciences Unit
303087PHASE: The Population HeAlth Simulation nEtworkLaurence MooreMedical Research Council (MRC)MR/S037594/1HW - MRC/CSO Social and Public Health Sciences Unit