Socio-ecological risk factors for prime-age adult death in two coastal areas of Vietnam.

ABSTRACT:

Background

Hierarchical spatial models enable the geographic and ecological analysis of health data thereby providing useful information for designing effective health interventions. In this study, we used a Bayesian hierarchical spatial model to evaluate mortality data in Vietnam. The model enabled identification of socio-ecological risk factors and generation of risk maps to better understand the causes and geographic implications of prime-age (15 to less than 45 years) adult death.

Methods and findings

The study was conducted in two sites: Nha Trang and Hue in Vietnam. The study areas were split into 500×500 meter cells to define neighborhoods. We first extracted socio-demographic data from population databases of the two sites, and then aggregated the data by neighborhoo

SUBMITTER: Kim DR 

PROVIDER: S-EPMC3935940 | biostudies-literature | 2014

REPOSITORIES: biostudies-literature