Empirical dynamic modeling of the association between ambient PM_2.5 and under-five mortality across 2851 counties in Mainland China, 1999-2012.

ABSTRACT:

Background

Ambient fine particulate matter (PM_2.5) pollution has been associated with mortality from various diseases, however, its association with under-five mortality rate (U5MR) has remained largely unknown.

Methods

Based on the U5MR data across 2851 counties in Mainland China from 1999 to 2012, we employed approximate Bayesian latent Gaussian models to assess the association between ambient PM_2.5 and U5MR at the county level for the whole nation and sub-regions. GDP growth rate, normalized difference vegetation index (NDVI), temperature, and night-time light were included as covariates using a smoothing function. We further implemented an empirical dynamic model (EDM) to explore the potential causal relationship between PM_2.5 and U5MR.

SUBMITTER: Alnwisi SMM 

PROVIDER: S-EPMC9061697 | biostudies-literature | 2022 Jun

REPOSITORIES: biostudies-literature