Monitoring vs. modeled exposure data in time-series studies of ambient air pollution and acute health outcomes.

ABSTRACT:

Background

Population-based short-term air pollution health studies often have limited spatiotemporally representative exposure data, leading to concerns of exposure measurement error.

Objective

To compare the use of monitoring and modeled exposure metrics in time-series analyses of air pollution and cardiorespiratory emergency department (ED) visits.

Methods

We obtained daily counts of ED visits for Atlanta, GA during 2009-2013. We leveraged daily ZIP code level concentration estimates for eight pollutants from nine exposure metrics. Metrics included central monitor (CM), monitor-based (inverse distance weighting, kriging), model-based [community multiscale air quality (CMAQ), land use regression (LUR)], and satellite-based measures. We used Poisson models to estimat

SUBMITTER: Ebelt ST 

PROVIDER: S-EPMC9675877 | biostudies-literature | 2023 May

REPOSITORIES: biostudies-literature