A scoping review & taxonomy of epidemiological-macroeconomic models of COVID-19.

COVID-19 epidemiological-macroeconomic models scoping review

Journal

Value in health : the journal of the International Society for Pharmacoeconomics and Outcomes Research
ISSN: 1524-4733
Titre abrégé: Value Health
Pays: United States
ID NLM: 100883818

Informations de publication

Date de publication:
30 Oct 2023
Historique:
received: 07 03 2023
revised: 08 10 2023
accepted: 22 10 2023
medline: 2 11 2023
pubmed: 2 11 2023
entrez: 1 11 2023
Statut: aheadofprint

Résumé

The COVID-19 pandemic placed significant strain on many health systems and economies. Mitigation policies decreased health impacts but had major macroeconomic impact. This paper reviews models combining epidemiological and macroeconomic projections to enable policymakers to consider both macroeconomic and health objectives. A scoping review of epidemiological-macroeconomic models of COVID-19 was conducted, covering preprints, working papers and journal publications. We assessed model methodologies, scope, and application to empirical data. We found 80 papers modelling 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 four categories: compartmental-utility-maximization models, epidemiological models with stylized macroeconomic projections, epidemiological models linked to computable general equilibrium or input-output models, and epi-econ-ABMs. We propose a taxonomy comparing these approaches to guide future model development. The epidemiological-macroeconomic models of COVID-19 identified have varying complexity and meet different modelling needs. Priorities for future modelling include increasing developing country applications, assessing disparities and poverty, and estimating of long-run impacts. This may require better integration between epidemiologists and economists.

Identifiants

pubmed: 37913921
pii: S1098-3015(23)06154-5
doi: 10.1016/j.jval.2023.10.008
pii:
doi:

Types de publication

Journal Article Review

Langues

eng

Sous-ensembles de citation

IM

Informations de copyright

Copyright © 2023 International Society for Pharmacoeconomics and Outcomes Research, Inc. Published by Elsevier Inc. All rights reserved.

Auteurs

Gabrielle Bonnet (G)

Department of Disease Control, Centre for Mathematical Modelling of Infectious Disease (CMMID) and Department of Infectious Disease Epidemiology, London School of Hygiene & Tropical Medicine, United Kingdom, London. Electronic address: Gabrielle.Bonnet@lshtm.ac.uk.

Carl A B Pearson (CAB)

Centre for Mathematical Modelling of Infectious Disease (CMMID), Department of Infectious Disease Epidemiology, London School of Hygiene & Tropical Medicine, United Kingdom, London and South African DSI-NRF Centre of Excellence in Epidemiological Modelling and Analysis (SACEMA), Stellenbosch University, South Africa, Stellenbosch.

Sergio Torres-Rueda (S)

Department of Global Health and Development, London School of Hygiene & Tropical Medicine, United Kingdom, London.

Francis Ruiz (F)

Department of Global Health and Development, London School of Hygiene & Tropical Medicine, United Kingdom, London.

Jo Lines (J)

Department of Disease Control and Centre on Climate Change and Planetary Health, London School of Hygiene & Tropical Medicine, United Kingdom, London.

Mark Jit (M)

Centre for Mathematical Modelling of Infectious Disease (CMMID), Department of Infectious Disease Epidemiology, London School of Hygiene & Tropical Medicine, United Kingdom, London.

Anna Vassall (A)

Department of Global Health and Development, London School of Hygiene & Tropical Medicine, United Kingdom, London.

Sedona Sweeney (S)

Department of Global Health and Development and Centre for Health Economics in London, London School of Hygiene & Tropical Medicine, United Kingdom, London.

Classifications MeSH