Estimating community-wide indirect effects of influenza vaccination: triangulation using mathematical models and bias analysis.

ABSTRACT: Understanding whether influenza vaccine promotion strategies produce community-wide indirect effects is important for establishing vaccine coverage targets and optimizing vaccine delivery. Empirical epidemiologic studies and mathematical models have been used to estimate indirect effects of vaccines but rarely for the same estimand in the same data set. Using these approaches together could be a powerful tool for triangulation in infectious disease epidemiology because each approach is subject to distinct sources of bias. We triangulated evidence about indirect effects from a school-located influenza vaccination program using 2 approaches: a difference-in-difference (DID) analysis and an age-structured, deterministic, compartmental model. The estimated indirect effect was substantially low

SUBMITTER: Arinaminpathy N 

PROVIDER: S-EPMC12342882 | biostudies-literature | 2025 Aug

REPOSITORIES: biostudies-literature