Fitting dynamic measles models to subnational case notification data from Ethiopia: Methodological challenges and key considerations.

ABSTRACT: In many settings, ongoing measles transmission is maintained due to pockets of un- or under-vaccinated individuals even if the critical vaccination threshold is reached nationwide. Therefore, assessing the underlying gaps in measles susceptibility within a population is essential for vaccination programs and measles control efforts. Recently, there have been increased efforts to use geospatial and small area methods to estimate subnational measles vaccination coverage in high-burden settings, such as in Ethiopia. However, the distribution of remaining susceptible individuals, either unvaccinated or having never previously been infected, across age groups and subnational geographies is unknown. In this study, we developed a dynamic transmission model that incorporates geospatial estimates o

SUBMITTER: Sbarra AN 

PROVIDER: S-EPMC12002527 | biostudies-literature | 2025 Apr

REPOSITORIES: biostudies-literature