Population heterogeneity in vaccine coverage impacts epidemic thresholds and bifurcation dynamics
Alina Glaubitz, Feng Fu

TL;DR
This paper investigates how population heterogeneity, including vaccination coverage, efficacy, and contact patterns, influences epidemic thresholds and bifurcation dynamics, revealing complex effects on disease persistence and control strategies.
Contribution
It provides a detailed analysis of how group-dependent heterogeneity affects epidemic thresholds and bifurcation behavior, highlighting factors that can lead to backward bifurcation.
Findings
Increased heterogeneity in vaccination coverage can cause backward bifurcation.
Differences in vaccine efficacy and mixing patterns subtly influence bifurcation dynamics.
Heterogeneity in vaccine efficacy can prevent backward bifurcation, while homophily worsens endemicity.
Abstract
Population heterogeneity, especially in individuals' contact networks, plays an important role in transmission dynamics of infectious diseases. For vaccine-preventable diseases, outstanding issues like vaccine hesitancy and availability of vaccines further lead to nonuniform coverage among groups, not to mention the efficacy of vaccines and the mixing pattern varying from one group to another. As the ongoing COVID-19 pandemic transitions to endemicity, it is of interest and significance to understand the impact of aforementioned population heterogeneity on the emergence and persistence of epidemics. Here we analyze epidemic thresholds and characterize bifurcation dynamics by accounting for heterogeneity caused by group-dependent characteristics, including vaccination rate and efficacy as well as disease transmissibility. Our analysis shows that increases in the difference in vaccination…
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Taxonomy
TopicsEvolution and Genetic Dynamics · Mathematical and Theoretical Epidemiology and Ecology Models · COVID-19 epidemiological studies
