Mapping the Landscape of Individual-Based Models for Respiratory Pathogen Transmission in the Pandemic and Post-Pandemic Era (2020-2024): A Systematic Review

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.

No Journal [Vol No Volume, (Issue 5736584)]