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Social Divisions and Risk Perception Drive Divergent Epidemics and Large Later Waves

Overview
Journal Evol Hum Sci
Specialty Biology
Date 2023 Aug 17
PMID 37587926
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Abstract

During infectious disease outbreaks, individuals may adopt protective measures like vaccination and physical distancing in response to awareness of disease burden. Prior work showed how feedbacks between epidemic intensity and awareness-based behaviour shape disease dynamics. These models often overlook social divisions, where population subgroups may be disproportionately impacted by a disease and more responsive to the effects of disease within their group. We develop a compartmental model of disease transmission and awareness-based protective behaviour in a population split into two groups to explore the impacts of awareness separation (relatively greater in- vs. out-group awareness of epidemic severity) and mixing separation (relatively greater in- vs. out-group contact rates). Using simulations, we show that groups that are more separated in awareness have smaller differences in mortality. Fatigue (i.e. abandonment of protective measures over time) can drive additional infection waves that can even exceed the size of the initial wave, particularly if uniform awareness drives early protection in one group, leaving that group largely susceptible to future infection. Counterintuitively, vaccine or infection-acquired immunity that is more protective against transmission and mortality may indirectly lead to more infections by reducing perceived risk of infection and therefore vaccine uptake. Awareness-based protective behaviour, including awareness separation, can fundamentally alter disease dynamics. Depending on group division, behaviour based on perceived risk can change epidemic dynamics & produce large later waves.

Citing Articles

Age-differentiated incentives for adaptive behavior during epidemics produce oscillatory and chaotic dynamics.

Arthur R, Levin M, Labrogere A, Feldman M PLoS Comput Biol. 2023; 19(9):e1011217.

PMID: 37669282 PMC: 10503720. DOI: 10.1371/journal.pcbi.1011217.

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