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Association of pollution with quantiles and expectations of the hospitalization rate of elderly people by respiratory diseases in the city of São Paulo, Brazil

Alencar, A.P., Santos, B.R. (2014) Association of pollution with quantiles and expectations of the hospitalization rate of elderly people by respiratory diseases in the city of São Paulo, Brazil. Environmetrics, 25 (3). pp. 165-171. ISSN 1180-4009. E-ISSN 1099-095X. (doi:10.1002/env.2274) (The full text of this publication is not currently available from this repository. You may be able to access a copy if URLs are provided) (KAR id:90503)

The full text of this publication is not currently available from this repository. You may be able to access a copy if URLs are provided. (Contact us about this Publication)
Official URL
https://doi.org/10.1002/env.2274

Abstract

Associations of pollution with expected rates of morbidity and mortality are discussed extensively in the literature, but associations between pollution and quantiles of these rates may change substantially. In this study, we compare the association of pollution and climate variables controlling for seasonality with the expectation and quantile of the hospitalization rate. The generalized linear model with the binomial negative distribution and the quantile regression are fitted to the daily number of hospitalizations of resident people older than 65 years in São Paulo City from 2006 to 2011. The daily average nitrogen oxide concentration presented the most significant association with the expected hospitalization rate and with the 90th percentile of this rate but no significant association with the median rate, controlling for seasonality and climate variables. The minimum temperature and relative humidity presented significant association with the expected hospitalization rate but no significant association with the 90th percentile. The effects may be very distinct for the average rate or high quantiles, which may affect planning the number of hospital beds mainly during the winter.

Item Type: Article
DOI/Identification number: 10.1002/env.2274
Uncontrolled keywords: generalized linear model; negative binomial; quantile regression
Subjects: Q Science > QA Mathematics (inc Computing science) > QA276 Mathematical statistics
Divisions: Divisions > Division of Computing, Engineering and Mathematical Sciences > School of Mathematics, Statistics and Actuarial Science
Depositing User: Amy Boaler
Date Deposited: 30 Sep 2021 15:13 UTC
Last Modified: 01 Oct 2021 08:56 UTC
Resource URI: https://kar.kent.ac.uk/id/eprint/90503 (The current URI for this page, for reference purposes)
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