Machine Learning Used in Communicable Disease Control: A Scoping Review
A growing number of studies used ML for disease surveillance. Addressing biases in model design should be prioritized in future research to improve reliability and equity in public health outcomes.
Authors
- Sharon Birdi
- Akwasi Owusu‐Bempah (ORCID: https://orcid.org/0000-0003-4237-3422)
- Andrew D. Pinto (ORCID: https://orcid.org/0000-0003-1841-9347)
- Kwame McKenzie (ORCID: https://orcid.org/0000-0001-6419-8130)
- Laura C. Rosella (ORCID: https://orcid.org/0000-0003-4867-869X)
- Steve Durant
- Parisa Naraei (ORCID: https://orcid.org/0000-0003-4165-6789)
- Melissa D. McCradden (ORCID: https://orcid.org/0000-0002-6476-2165)
- Carolyn Ziegler (ORCID: https://orcid.org/0000-0002-5545-0610)
- Jillian A. Macklin (ORCID: https://orcid.org/0000-0003-0223-6263)
- Sharmistha Mishra (ORCID: https://orcid.org/0000-0001-8492-5470)
- Roxana Rabet
- Shehzad Ali (ORCID: https://orcid.org/0000-0002-2988-5231)
- Tina Vosoughi
- Atushi Patel (ORCID: https://orcid.org/0009-0004-0756-8149)
- James Shaw
- Ava John-Baptiste
- Mahek Shergill
- Faris Kapra
- Ross Upshur
- Jennifer Gibson
- David Buckeridge
- Elnathan Mesfin
- Navreet Singh
Institutions
- Western University (CA)
- Alberta Health Services (CA)
- Centre for Addiction and Mental Health (CA)
- 3M (United States) (US)
- University of Toronto (CA)
- Wellesley Institute (CA)
- Great Ormond Street Hospital (GB)
- Trillium Health Centre (CA)
- Hospital for Sick Children (CA)
- St Michael’s Hospital (IE)
- Metropolitan University (RS)
- Health Solutions (Sweden) (SE)
- Public Health Ontario (CA)
- Division of Undergraduate Education (US)
- Stadtwerke Jülich (Germany) (DE)
- St Michael’s Hospital (GB)
- SickKids Foundation (CA)
- Institute for Clinical Evaluative Sciences (CA)
- Metropolitan University (BD)
- University College London (GB)
- McGill University (CA)
- University of York (GB)
- Massachusetts Institute of Technology (US)
- Ontario College of Art and Design (CA)
- McMaster University (CA)
Publication Details
- Journal
- Public health reviews
- Published
- 2026-02-13
- DOI
- https://doi.org/10.3389/phrs.2026.1608074
- Primary Topic
- Data-Driven Disease Surveillance
- Type
- article
- Field-Weighted Citation Impact
- 0.00