The Effects of Regional Vaccination Heterogeneity on Measles Outbreaks with France as a Case Study
Elaine T. Alexander, Savanah D. McMahon, Nicholas Roberts, Emilio, Sutti, Daniel Burkow, Miles Manning, Kamuela E. Yong, Sergei Suslov

TL;DR
This study investigates how regional differences in vaccination coverage affect measles outbreaks, using a multi-patch epidemiological model and data from France to show that heterogeneity increases outbreak potential.
Contribution
Introduces a multi-patch SEIR model incorporating regional vaccination heterogeneity and analyzes its impact on measles transmission dynamics.
Findings
Heterogeneous vaccination coverage raises the controlled reproduction number.
Mathematical analysis of a two-patch system enhances understanding of multi-region interactions.
Numerical simulations demonstrate the effect of regional disparities on outbreak severity.
Abstract
The rubeola virus, commonly known as measles, is one of the major causes of vaccine-preventable deaths among children worldwide. This is the case despite the fact that an effective vaccine is widely available. Even in developed countries elimination efforts have fallen short as seen by recent outbreaks in Europe, which had over 30,000 cases reported in 2010. The string of measles outbreaks in France from 2008-2011 is of particular interest due to the documented disparity in regional vaccination coverage. The impact of heterogeneous vaccine coverage on disease transmission is a broad interest and the focus of this study. A Susceptible-Exposed-Infectious-Recovered (SEIR) multi-patch epidemiological model capturing the regional differences in vaccination rates and mixing is introduced. The mathematical analysis of a two-patch system is carried out to help our understanding of the behavior…
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Taxonomy
TopicsVirology and Viral Diseases · Vaccine Coverage and Hesitancy · COVID-19 epidemiological studies
