Impact of limited residential address on health effect analysis of predicted air pollution in a simulation study.

ABSTRACT:

Background

Recent epidemiological studies of air pollution have adopted spatially-resolved prediction models to estimate air pollution concentrations at people's homes. However, the benefit of these models was limited in many studies that used existing health data relying on incomplete addresses resulting from confidentiality concerns or lack of interest when designed.

Objective

This simulation study aimed to understand the impact of incomplete addresses on health effect estimation based on the association between particulate matter with diameter ≤10 µm (PM₁₀) and low birth weight (LBW).

Methods

We generated true annual average concentrations of PM₁₀ at 46,007 mothers' homes and their LBW status, using the parameters obtained from our data analys

SUBMITTER: Jun YB 

PROVIDER: S-EPMC9349037 | biostudies-literature | 2022 Jul

REPOSITORIES: biostudies-literature