What question did this study set out to answer?

This research aims to highlight the disparities in infectious disease burden among different groups and emphasize the need for tailored modelling approaches.

July 2, 2026Open Access

Health inequalities in infectious disease modelling

RERosalind M. EggoLondon School of Hygiene & Tropical Medicine ARAlexis RobertLondon School of Hygiene & Tropical Medicine KKKamlesh KhuntiUniversity of Leicester

Key Points

This research aims to highlight the disparities in infectious disease burden among different groups and emphasize the need for tailored modelling approaches.
Analyzed existing modelling techniques in infectious disease transmission.
Identified key drivers of health inequalities in infectious disease.
Proposed collaborative frameworks for enhanced understanding and application.
Noted significant disparities in infection rates across varied populations.
Highlighted the necessity for refined modelling methods to inform equitable health policies.
Emphasized collaboration between researchers and policymakers to tackle inequalities effectively.

Abstract

Infectious disease transmission is unequal, with some groups experiencing long-standing higher burdens of infection and disease. Here, we discuss the urgent need for the field of transmission modelling to develop methods, collaborations and understanding of the drivers and dynamics of infectious disease inequalities to support policymaking that aims to mitigate inequalities.

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