Local exposure misclassification in national models: relationships with urban infrastructure and demographics.

ABSTRACT:

Background

National-scale linear regression-based modeling may mischaracterize localized patterns, including hyperlocal peaks and neighborhood- to regional-scale gradients. For studies focused on within-city differences, this mischaracterization poses a risk of exposure misclassification, affecting epidemiological and environmental justice conclusions.

Objective

Characterize the difference between intraurban pollution patterns predicted by national-scale land use regression modeling and observation-based estimates within a localized domain and examine the relationship between that difference and urban infrastructure and demographics.

Methods

We compare highly resolved (0.01 km²) observations of NO₂ mixing ratio and ultrafine particle (UFP) count

SUBMITTER: Chambliss SE 

PROVIDER: S-EPMC11446823 | biostudies-literature | 2024 Sep

REPOSITORIES: biostudies-literature