Pathways linking socioeconomic conditions to infectious disease transmission

Determine the causal pathways through which socioeconomic conditions influence the transmission dynamics of infectious diseases, clarifying how factors such as education level, income, employment status, geographic region, and urbanicity modulate infection spread and outcomes, as highlighted by the COVID-19 experience.

Background

The paper motivates its survey by noting that, despite clear evidence that socioeconomic inequalities affect infectious disease outcomes, the specific mechanisms connecting socioeconomic conditions to transmission dynamics are not well characterized. This gap impedes accurate modeling and targeted interventions.

Using a representative survey of the Italian population conducted in March 2024, the authors analyze associations between socioeconomic factors and protective behaviors (vaccination, mask-wearing, social distancing) as well as contact patterns across settings (essential activities, leisure, transport, health). Their findings underscore complex interactions between age, employment status, education, city size, and regional differences, reinforcing the need to elucidate the causal pathways to integrate socioeconomic determinants into epidemic models.