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, cilt.20, sa.4, ss.282-286, 2012 (SCI-Expanded) identifier identifier identifier

  • Yayın Türü: Makale / Tam Makale
  • Cilt numarası: 20 Sayı: 4
  • Basım Tarihi: 2012
  • Doi Numarası: 10.21101/cejph.a3757
  • Dergi Adı: CENTRAL EUROPEAN JOURNAL OF PUBLIC HEALTH
  • Derginin Tarandığı İndeksler: Science Citation Index Expanded (SCI-EXPANDED), Social Sciences Citation Index (SSCI), Scopus
  • Sayfa Sayıları: ss.282-286
  • Anahtar Kelimeler: 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 Üniversitesi Adresli: Evet

Özet

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.