Bonnet, Gabrielle; Pearson, Carl AB; Torres-Rueda, Sergio; Ruiz, Francis; Lines, Jo; Jit, Mark; Vassall, Anna; Sweeney, Sedona; (2023) A Scoping Review and Taxonomy of Epidemiological-Macroeconomic Models of COVID-19. Value in health, 27 (1). pp. 104-116. ISSN 1098-3015 DOI: https://doi.org/10.1016/j.jval.2023.10.008
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Abstract
OBJECTIVES: The COVID-19 pandemic placed significant strain on many health systems and economies. Mitigation policies decreased health impacts but had major macroeconomic impact. This article reviews models combining epidemiological and macroeconomic projections to enable policy makers to consider both macroeconomic and health objectives. METHODS: A scoping review of epidemiological-macroeconomic models of COVID-19 was conducted, covering preprints, working articles, and journal publications. We assessed model methodologies, scope, and application to empirical data. RESULTS: We found 80 articles modeling both the epidemiological and macroeconomic outcomes of COVID-19. Model scope is often limited to the impact of lockdown on health and total gross domestic product or aggregate consumption and to high-income countries. Just 14% of models assess disparities or poverty. Most models fall under 4 categories: compartmental-utility-maximization models, epidemiological models with stylized macroeconomic projections, epidemiological models linked to computable general equilibrium or input-output models, and epidemiological-economic agent-based models. We propose a taxonomy comparing these approaches to guide future model development. CONCLUSIONS: The epidemiological-macroeconomic models of COVID-19 identified have varying complexity and meet different modeling needs. Priorities for future modeling include increasing developing country applications, assessing disparities and poverty, and estimating of long-run impacts. This may require better integration between epidemiologists and economists.
Item Type | Article |
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Faculty and Department |
Faculty of Epidemiology and Population Health > Dept of Infectious Disease Epidemiology & Dynamics (2023-) Faculty of Public Health and Policy > Dept of Global Health and Development Faculty of Infectious and Tropical Diseases > Dept of Disease Control |
Research Centre | Centre for the Mathematical Modelling of Infectious Diseases |
PubMed ID | 37913921 |
Elements ID | 210544 |
Official URL | http://dx.doi.org/10.1016/j.jval.2023.10.008 |
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Filename: Bonnet-etal-2024-A-Scoping-Review-and-Taxonomy-of-Epidemiological-Macroeconomic-Models-of-COVID-19.pdf
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