Spatio-temporal ozone variation in a case-crossover analysis of childhood asthma hospital visits in New York City.

ABSTRACT:

Background

Childhood asthma morbidity has been associated with short-term air pollution exposure. To date, most investigations have used time-series models, and it is not well understood how exposure misclassification arising from unmeasured spatial variation may impact epidemiological effect estimates. Here, we develop case-crossover models integrating temporal and spatial individual-level exposure information, toward reducing exposure misclassification in estimating associations between air pollution and child asthma exacerbations in New York City (NYC).

Methods

Air pollution data included: (a) highly spatially-resolved intra-urban concentration surfaces for ozone and co-pollutants (nitrogen dioxide and fine particulate matter) from the New York City Community Air Survey (

SUBMITTER: Shmool JL 

PROVIDER: S-EPMC5552364 | biostudies-literature | 2016 May

REPOSITORIES: biostudies-literature