Time-series analysis of ambient PM_2.5 and cardiorespiratory emergency room visits in Lima, Peru during 2010-2016.

ABSTRACT:

Introduction

There have been no time-series studies of air pollution in Peru. Here we evaluate the effect of ambient PM_2.5 on emergency room (ER) visits in Lima.

Methods

We estimated daily PM_2.5 levels at a 1 km² resolution during 2010-2016 using ground measurements, satellite data, and chemical transport model simulations. Population-weighted average daily PM_2.5 levels were calculated for each district in Lima (n = 40), and assigned to patients based on residence. ER visits for respiratory and circulatory diseases were gathered from nine large public hospitals. Poisson regression was used to estimate the rate ratio for daily ER visits with change in daily PM_2.5, controlling for meteorology, time trends, and district.

SUBMITTER: Tapia V 

PROVIDER: S-EPMC7234897 | biostudies-literature | 2020 Jul

REPOSITORIES: biostudies-literature