Comparing existing and novel methods for estimating etiology-specific diarrheal disease incidence in hybrid surveillance studies.

ABSTRACT: Accurate estimates of infectious disease incidence are critical for designing studies of public health interventions, including vaccines. Hybrid surveillance studies estimate incidence by enrolling cases in medical facilities, estimating population denominators in the community, and adjusting for healthcare seeking behaviors, which is necessary to minimize bias. The Enterics for Global Health (EFGH) Study aimed to generate updated incidence estimates of Shigella diarrhea among children in preparation for vaccine trials. We conducted a simulation to evaluate approaches for healthcare seeking adjustment and uncertainty estimation in hybrid studies and applied these methods to EFGH. Adjusting for healthcare seeking using the inverse of individual-level propensity scores for healthcare

SUBMITTER: Garcia Quesada M 

PROVIDER: S-EPMC12642700 | biostudies-literature | 2025 Nov

REPOSITORIES: biostudies-literature