Differential impacts of the COVID-19 pandemic on sociodemographic groups: A mathematical model framework
Gbeminiyi J. Oyedele, Ivo Vlaev, Michael J. Tildesley
TL;DR
This paper uses a mathematical model to show how age and deprivation affect the spread and impact of diseases like COVID-19, highlighting persistent inequalities even during lockdowns.
Contribution
The novel contribution is a model integrating age and deprivation to study how mixing patterns and lockdowns influence disease disparities.
Findings
Disease outcomes are highest under diagonal mixing, with the most deprived groups disproportionately affected.
Lockdowns reduced overall disease outcomes but did not eliminate inequalities between social groups.
The model suggests targeted interventions could help reduce health disparities during epidemics.
Abstract
Deprivation and age can both drive disparities in infectious disease transmission and outcomes; however, few models capture their combined effects. We developed a deterministic ordinary differential equation model stratified by age and deprivation decile coupled with time-dependent testing proportion to examine how mixing patterns shape inequalities in disease burden, using COVID-19 in England as a case study. The framework allows three mixing scenarios–diagonal, preferred, and proportionate, and we simulated the epidemic with movement restrictions to reflect lockdown measures. We assessed the effectiveness of these restrictions in reducing transmission and explored their implications for different social groups. Results show that under diagonal mixing, disease outcomes are significantly higher than under the other mixing scenarios, with the most deprived deciles experiencing…
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Taxonomy
TopicsCOVID-19 epidemiological studies · Health disparities and outcomes · Zoonotic diseases and public health