Cent Eur J Public Health 2012, 20(4):282-286 | DOI: 10.21101/cejph.a3757

Comparing Models of the Effect of Air Pollutants on Hospital Admissions and Symptoms for Chronic Obstructive Pulmonary Disease

Mehmet Ali Cengiz, Yuksel Terzi
Department of Statistics, University of Ondokuz Mayis, Samsun, Turkey

There is an increasing interest in the use of hospital admission for Chronic obstructive pulmonary disease (COPD) in studies of short-term exposure effects attributed to air pollutants. However, little is known about the effect of air pollutants on COPD symptoms. This study was undertaken to determine whether there was an association between air pollutant levels and both hospital admissions and symptoms for COPD. For model comparison, we present Generalized Linear Model, Generalized Additive Model and a general approach for Bayesian inference via Markov chain Monte Carlo in generalized additive model. Furthermore, for comparing the predictive accuracy, Artificial Neural Networks (ANN) approach is given.

Keywords: chronic obstructive pulmonary disease, Generalized Additive Model, Bayesian, WinBUGS, hospital admission, air pollution

Received: January 2, 2012; Revised: August 28, 2012; Accepted: August 28, 2012; Published: December 1, 2012  Show citation

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Cengiz MA, Terzi Y. Comparing Models of the Effect of Air Pollutants on Hospital Admissions and Symptoms for Chronic Obstructive Pulmonary Disease. Cent Eur J Public Health. 2012;20(4):282-286. doi: 10.21101/cejph.a3757. PubMed PMID: 23441395.
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