The association between asthma emergency department visits and satellite-derived PM_2.5 in Lima, Peru.

ABSTRACT:

Background

Asthma affects millions of people worldwide. Lima, Peru is one of the most polluted cities in the Americas but has insufficient ground PM_2.5 (particulate matter that are 2.5 μm or less in diameter) measurements to conduct epidemiologic studies regarding air pollution. PM_2.5 estimates from a satellite-driven model have recently been made, enabling a study between asthma and PM_2.5.

Objective

We conducted a daily time-series analysis to determine the association between asthma emergency department (ED) visits and estimated ambient PM_2.5 levels in Lima, Peru from 2010 to 2016.

Methods

We used Poisson generalized linear models to regress aggregated counts of asthma on district-level population weighted PM_2.5

SUBMITTER: Vu BN 

PROVIDER: S-EPMC8195863 | biostudies-literature | 2021 Aug

REPOSITORIES: biostudies-literature