Estimating the potential impact of behavioral public health interventions nationally while maintaining agreement with global patterns on relative risks.

ABSTRACT: OBJECTIVE:This paper introduces a novel method to evaluate the local impact of behavioral scenarios on disease prevalence and burden with representative individual level data while ensuring that the model is in agreement with the qualitative patterns of global relative risk (RR) estimates. The method is used to estimate the impact of behavioral scenarios on the burden of disease due to ischemic heart disease (IHD) and diabetes in the Turkish adult population. METHODS:Disease specific Hierarchical Bayes (HB) models estimate the individual disease probability as a function of behaviors, demographics, socio-economics and other controls, where constraints are specified based on the global RR estimates. The simulator combines the counterfactual disease probability estimates with disability adju

SUBMITTER: Ali OG 

PROVIDER: S-EPMC7219750 | biostudies-literature | 2020

REPOSITORIES: biostudies-literature