Mapping the landscape of individual-based models for respiratory pathogen transmission in the pandemic and post-pandemic era (2020–2024): A systematic review

Shreeya Mhade, Utkarsh Bhosekar, Megan D. Hill, Shelly Sinclair, Snigdha Agrawal, Jessica Guerrini, Luling Zou, Anna Koebcke, Allisandra G. Kummer, Paulo C. Ventura, Sara Y. Del Valle, Matteo Chinazzi, Maria Litvinova, Alessandro Vespignani, Marco Ajelli
Epidemics
Volume 56, September 2026, 100924
June 6, 2026

Individual-based models (IBMs) provide a mechanistic framework in which population-level outcomes emerge from interactions between individuals. We conducted a systematic review on IBMs for respiratory pathogens published in 2020–2024. We identified 855 eligible studies. Publications peaked in 2021, with a geographical distribution positively correlated with national GDP, leaving regions understudied. Most studies focused on SARS-CoV-2 and assessed public health interventions. Research priorities evolved over time, shifting from social distancing to vaccination. Age was included in 72.4% of studies; other sociodemographic factors (e.g., race/ethnicity) were rarely considered. This review maps the IBM landscape, offering a framework to guide future modeling efforts.