Evaluation of Chronic Obstructive Pulmonary Disease (COPD) attributed to atmospheric O3, NO2, and SO2 using Air Q Model (2011-2012 year)

Mohammad Ghanbari Ghozikali, Behzad Heibati, Kazem Naddafi, Itai Kloog, Gea Oliveri Conti, Riccardo Polosa, Margherita Ferrante

Research output: Contribution to journalArticlepeer-review

85 Scopus citations

Abstract

Chronic obstructive pulmonary disease (COPD) is an important disease worldwide characterized by chronically poor airflow. The economic burden of COPD on any society can be enormous if not managed. We applied the approach proposed by the World Health Organization (WHO) using the AirQ2.2.3 software developed by the WHO European Center for Environment and Health on air pollutants in Tabriz (Iran) (2011-2012 year). A 1h average of concentrations of ozone (O3), daily average concentrations of nitrogen dioxide (NO2) and sulfur dioxide (SO2) were used to assess human exposure and health effect in terms of attributable proportion of the health outcome and annual number of excess cases of Hospital Admissions for COPD (HA COPD). The results of this study showed that 2% (95% CI: 0.8-3.1%) of HA COPD were attributed to O3 concentrations over 10μg/m3. In addition, 0.7 % (95% CI: 0.1-1.8%) and 0.5% (95% CI: 0-1%) of HA COPD were attributed to NO2 and SO2 concentrations over 10μg/m3 respectively. In this study, we have shown that O3, NO2 and SO2 have a significant impact on COPD hospitalization. Given these results the policy decisions are needed in order to reduce the chronic pulmonary diseases caused by air pollution and furthermore better quantification studies are recommended.

Original languageEnglish
Pages (from-to)99-105
Number of pages7
JournalEnvironmental Research
Volume144
DOIs
StatePublished - 1 Jan 2016
Externally publishedYes

Keywords

  • Air Pollution
  • AirQ software
  • COPD
  • Hospitalization
  • Nitrogen dioxide
  • Ozone
  • Sulfur dioxide

Fingerprint

Dive into the research topics of 'Evaluation of Chronic Obstructive Pulmonary Disease (COPD) attributed to atmospheric O<sub>3</sub>, NO<sub>2</sub>, and SO<sub>2</sub> using Air Q Model (2011-2012 year)'. Together they form a unique fingerprint.

Cite this