Article

Agent-Based Modelling of Health Inequalities following the Complexity Turn in Public Health: A Systematic Review

Details

Citation

Boyd J, Wilson R, Elsenbroich C, Heppenstall A & Meier P (2022) Agent-Based Modelling of Health Inequalities following the Complexity Turn in Public Health: A Systematic Review. International Journal of Environmental Research and Public Health, 19 (24), p. 16807. https://doi.org/10.3390/ijerph192416807

Abstract
There is an increasing focus on the role of complexity in public health and public policy fields which has brought about a methodological shift towards computational approaches. This includes agent-based modelling (ABM), a method used to simulate individuals, their behaviour and interactions with each other, and their social and physical environment. This paper aims to systematically review the use of ABM to simulate the generation or persistence of health inequalities. PubMed, Scopus, and Web of Science (1 January 2013–15 November 2022) were searched, supplemented with manual reference list searching. Twenty studies were included; fourteen of them described models of health behaviours, most commonly relating to diet (n = 7). Six models explored health outcomes, e.g., morbidity, mortality, and depression. All of the included models involved heterogeneous agents and were dynamic, with agents making decisions, growing older, and/or becoming exposed to different health risks. Eighteen models represented physical space and in eleven models, agents interacted with other agents through social networks. ABM is increasingly contributing to our understanding of the socioeconomic inequalities in health. However, to date, the majority of these models focus on the differences in health behaviours. Future research should attempt to investigate the social and economic drivers of health inequalities using ABM.

Keywords
health inequality; agent-based modelling; simulation; systematic review

Journal
International Journal of Environmental Research and Public Health: Volume 19, Issue 24

StatusPublished
Publication date online31/12/2022
Date accepted by journal12/12/2022
PublisherMDPI AG
eISSN1660-4601
ISBN1660-4601

People (1)

Dr Jennifer Boyd

Dr Jennifer Boyd

Research Fellow, Sociology, Social Policy & Criminology

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