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(Referência obtida automaticamente do Web of Science, por meio da informação sobre o financiamento pela FAPESP e o número do processo correspondente, incluída na publicação pelos autores.)

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

Texto completo
Autor(es):
Alencar, A. P. [1] ; Santos, B. R. [1]
Número total de Autores: 2
Afiliação do(s) autor(es):
[1] Univ Sao Paulo, Inst Math & Stat, Dept Stat, BR-05508090 Sao Paulo, SP - Brazil
Número total de Afiliações: 1
Tipo de documento: Artigo Científico
Fonte: ENVIRONMETRICS; v. 25, n. 3, p. 165-171, MAY 2014.
Citações Web of Science: 2
Resumo

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 65years in SAo 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. Copyright (c) 2014 John Wiley \& Sons, Ltd. (AU)

Processo FAPESP: 13/00506-1 - Séries temporais, ondaletas e análise de dados funcionais
Beneficiário:Pedro Alberto Morettin
Modalidade de apoio: Auxílio à Pesquisa - Temático
Processo FAPESP: 12/20267-9 - Extensões dos modelos de regressão quantílica Bayesianos
Beneficiário:Bruno Ramos dos Santos
Modalidade de apoio: Bolsas no Brasil - Doutorado