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

Institutions

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
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Machine Learning Used in Communicable Disease Control: A Scoping Review

Sharon Birdi, Akwasi Owusu‐Bempah, Andrew D. Pinto, Kwame McKenzie et al.
Public health reviews
Data-Driven Disease Surveillance
article

Machine Learning Used in Communicable Disease Control: A Scoping Review

Sharon Birdi, Akwasi Owusu‐Bempah, Andrew D. Pinto, Kwame McKenzie, Laura C. Rosella, Steve Durant, Parisa Naraei, Melissa D. McCradden, Carolyn Ziegler, Jillian A. Macklin, Sharmistha Mishra, Roxana Rabet, Shehzad Ali, Tina Vosoughi, Atushi Patel, James Shaw, Ava John-Baptiste, Mahek Shergill, Faris Kapra, Ross Upshur, Jennifer Gibson, David Buckeridge, Elnathan Mesfin, Navreet Singh
article en

Abstract

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.

Public health reviewsVol. 47
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)
Openalex Percentile: Top 55%
Data-Driven Disease Surveillance
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.