COMPARING MODELS OF THE EFFECT OF AIR POLLUTANTS ON HOSPITAL ADMISSIONS AND SYMPTOMS FOR CHRONIC OBSTRUCTIVE PULMONARY DISEASE

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Cengiz M. A., Terzi Y.

CENTRAL EUROPEAN JOURNAL OF PUBLIC HEALTH, vol.20, no.4, pp.282-286, 2012 (SCI-Expanded) identifier identifier identifier

  • Publication Type: Article / Article
  • Volume: 20 Issue: 4
  • Publication Date: 2012
  • Doi Number: 10.21101/cejph.a3757
  • Journal Name: CENTRAL EUROPEAN JOURNAL OF PUBLIC HEALTH
  • Journal Indexes: Science Citation Index Expanded (SCI-EXPANDED), Social Sciences Citation Index (SSCI), Scopus
  • Page Numbers: pp.282-286
  • Keywords: chronic obstructive pulmonary disease, Generalized Additive Model, Bayesian, WinBUGS, hospital admission, air pollution, ADDITIVE MIXED MODELS, MINNEAPOLIS ST-PAUL, REGRESSION SPLINES, POLLUTION, MORTALITY, INFERENCE
  • Ondokuz Mayıs University Affiliated: Yes

Abstract

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.