Public Health Reviews (Oct 2024)
Do COVID-19 Infectious Disease Models Incorporate the Social Determinants of Health? A Systematic Review
- Ava A. John-Baptiste,
- Ava A. John-Baptiste,
- Ava A. John-Baptiste,
- Ava A. John-Baptiste,
- Ava A. John-Baptiste,
- Marc Moulin,
- Marc Moulin,
- Zhe Li,
- Zhe Li,
- Zhe Li,
- Zhe Li,
- Zhe Li,
- Darren Hamilton,
- Gabrielle Crichlow,
- Gabrielle Crichlow,
- Gabrielle Crichlow,
- Daniel Eisenkraft Klein,
- Daniel Eisenkraft Klein,
- Feben W. Alemu,
- Lina Ghattas,
- Kathryn McDonald,
- Miqdad Asaria,
- Cameron Sharpe,
- Cameron Sharpe,
- Ekta Pandya,
- Nasheed Moqueet,
- Nasheed Moqueet,
- David Champredon,
- Seyed M. Moghadas,
- Lisa A. Cooper,
- Andrew Pinto,
- Andrew Pinto,
- Andrew Pinto,
- Andrew Pinto,
- Andrew Pinto,
- Saverio Stranges,
- Saverio Stranges,
- Margaret J. Haworth-Brockman,
- Alison Galvani,
- Shehzad Ali,
- Shehzad Ali,
- Shehzad Ali,
- Shehzad Ali,
- Shehzad Ali,
- Shehzad Ali,
- Shehzad Ali,
- Shehzad Ali
Affiliations
- Ava A. John-Baptiste
- Department of Epidemiology and Biostatistics, Schulich School of Medicine and Dentistry, Western University, London, ON, Canada
- Ava A. John-Baptiste
- Department of Anesthesia and Perioperative Medicine, Schulich School of Medicine and Dentistry, Western University, London, ON, Canada
- Ava A. John-Baptiste
- Centre for Medical Evidence, Decision Integrity and Clinical Impact, Schulich School of Medicine and Dentistry, Western University, London, ON, Canada
- Ava A. John-Baptiste
- Lawson Health Research Institute, London, ON, Canada
- Ava A. John-Baptiste
- Schulich Interfaculty Program in Public Health, Schulich School of Medicine and Dentistry, Western University, London, ON, Canada
- Marc Moulin
- Centre for Medical Evidence, Decision Integrity and Clinical Impact, Schulich School of Medicine and Dentistry, Western University, London, ON, Canada
- Marc Moulin
- Health Sciences Library, London Health Sciences Centre, London, ON, Canada
- Zhe Li
- Department of Epidemiology and Biostatistics, Schulich School of Medicine and Dentistry, Western University, London, ON, Canada
- Zhe Li
- Department of Anesthesia and Perioperative Medicine, Schulich School of Medicine and Dentistry, Western University, London, ON, Canada
- Zhe Li
- Centre for Medical Evidence, Decision Integrity and Clinical Impact, Schulich School of Medicine and Dentistry, Western University, London, ON, Canada
- Zhe Li
- Schulich Interfaculty Program in Public Health, Schulich School of Medicine and Dentistry, Western University, London, ON, Canada
- Zhe Li
- University of Ottawa Heart Institute, Ottawa, ON, Canada
- Darren Hamilton
- Health Sciences Library, London Health Sciences Centre, London, ON, Canada
- Gabrielle Crichlow
- Department of Epidemiology and Biostatistics, Schulich School of Medicine and Dentistry, Western University, London, ON, Canada
- Gabrielle Crichlow
- Schulich Interfaculty Program in Public Health, Schulich School of Medicine and Dentistry, Western University, London, ON, Canada
- Gabrielle Crichlow
- School of Health Studies, Faculty of Health Sciences, Western University, London, ON, Canada
- Daniel Eisenkraft Klein
- Department of Epidemiology and Biostatistics, Schulich School of Medicine and Dentistry, Western University, London, ON, Canada
- Daniel Eisenkraft Klein
- Dalla Lana School of Public Health, University of Toronto, Toronto, ON, Canada
- Feben W. Alemu
- Department of Epidemiology and Biostatistics, Schulich School of Medicine and Dentistry, Western University, London, ON, Canada
- Lina Ghattas
- Department of Epidemiology and Biostatistics, Schulich School of Medicine and Dentistry, Western University, London, ON, Canada
- Kathryn McDonald
- 0Johns Hopkins Center for Health Equity, Johns Hopkins University, Baltimore, MD, United States
- Miqdad Asaria
- 1Department of Health Policy, London School of Economics and Political Science, London, United Kingdom
- Cameron Sharpe
- Department of Epidemiology and Biostatistics, Schulich School of Medicine and Dentistry, Western University, London, ON, Canada
- Cameron Sharpe
- Schulich Interfaculty Program in Public Health, Schulich School of Medicine and Dentistry, Western University, London, ON, Canada
- Ekta Pandya
- Department of Epidemiology and Biostatistics, Schulich School of Medicine and Dentistry, Western University, London, ON, Canada
- Nasheed Moqueet
- Department of Epidemiology and Biostatistics, Schulich School of Medicine and Dentistry, Western University, London, ON, Canada
- Nasheed Moqueet
- 2Public Health Agency of Canada (PHAC), Ottawa, ON, Canada
- David Champredon
- 2Public Health Agency of Canada (PHAC), Ottawa, ON, Canada
- Seyed M. Moghadas
- 3Department of Mathematics and Statistics, Faculty of Science, York University, Toronto, ON, Canada
- Lisa A. Cooper
- 0Johns Hopkins Center for Health Equity, Johns Hopkins University, Baltimore, MD, United States
- Andrew Pinto
- Dalla Lana School of Public Health, University of Toronto, Toronto, ON, Canada
- Andrew Pinto
- 4Department of Family and Community Medicine, St. Michael’s Hospital, Toronto, ON, Canada
- Andrew Pinto
- 5Department of Family and Community Medicine, Faculty of Medicine, University of Toronto, Toronto, ON, Canada
- Andrew Pinto
- 6Li Ka Shing Knowledge Institute, St Michael’s Hospital, Toronto, ON, Canada
- Andrew Pinto
- 7Institute of Health Policy Management and Evaluation, Dalla Lana School of Public Health, University of Toronto, Toronto, ON, Canada
- Saverio Stranges
- Department of Epidemiology and Biostatistics, Schulich School of Medicine and Dentistry, Western University, London, ON, Canada
- Saverio Stranges
- 8Department of Clinical Medicine and Surgery, University of Naples Federico II, Naples, Italy
- Margaret J. Haworth-Brockman
- 9National Collaborating Centre for Infectious Diseases, Rady Faculty of Health Sciences, University of Manitoba, Winnipeg, MB, Canada
- Alison Galvani
- 0School of Public Health, Yale University, New Haven, CT, United States
- Shehzad Ali
- Department of Epidemiology and Biostatistics, Schulich School of Medicine and Dentistry, Western University, London, ON, Canada
- Shehzad Ali
- Department of Anesthesia and Perioperative Medicine, Schulich School of Medicine and Dentistry, Western University, London, ON, Canada
- Shehzad Ali
- Centre for Medical Evidence, Decision Integrity and Clinical Impact, Schulich School of Medicine and Dentistry, Western University, London, ON, Canada
- Shehzad Ali
- Schulich Interfaculty Program in Public Health, Schulich School of Medicine and Dentistry, Western University, London, ON, Canada
- Shehzad Ali
- Health Sciences Library, London Health Sciences Centre, London, ON, Canada
- Shehzad Ali
- 1Department of Health Sciences, University of York, University of Manitoba, York, United Kingdom
- Shehzad Ali
- 2World Health Organization Collaborating Centre for Knowledge Translation and Health Technology Assessment in Health Equity, Ottawa, ON, Canada
- Shehzad Ali
- 3Department of Psychology, Macquarie University, Sydney, NSW, Australia
- DOI
- https://doi.org/10.3389/phrs.2024.1607057
- Journal volume & issue
-
Vol. 45
Abstract
ObjectivesTo identify COVID-19 infectious disease models that accounted for social determinants of health (SDH).MethodsWe searched MEDLINE, EMBASE, Cochrane Library, medRxiv, and the Web of Science from December 2019 to August 2020. We included mathematical modelling studies focused on humans investigating COVID-19 impact and including at least one SDH. We abstracted study characteristics (e.g., country, model type, social determinants of health) and appraised study quality using best practices guidelines.Results83 studies were included. Most pertained to multiple countries (n = 15), the United States (n = 12), or China (n = 7). Most models were compartmental (n = 45) and agent-based (n = 7). Age was the most incorporated SDH (n = 74), followed by gender (n = 15), race/ethnicity (n = 7) and remote/rural location (n = 6). Most models reflected the dynamic nature of infectious disease spread (n = 51, 61%) but few reported on internal (n = 10, 12%) or external (n = 31, 37%) model validation.ConclusionFew models published early in the pandemic accounted for SDH other than age. Neglect of SDH in mathematical models of disease spread may result in foregone opportunities to understand differential impacts of the pandemic and to assess targeted interventions.Systematic Review Registration:[https://www.crd.york.ac.uk/prospero/display_record.php?ID=CRD42020207706], PROSPERO, CRD42020207706.
Keywords