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Air Quality Modeling for Health Risk Assessment of Ambient Pm10, Pm2.5 and So2 in Iran Publisher



Omidi Khaniabadi Y1 ; Sicard P2 ; Omidi Khaniabadi A3 ; Mohammadinejad S4 ; Keishams F5 ; Takdastan A6, 7 ; Najafi A8 ; De Marco A9 ; Daryanoosh M10
Authors
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Authors Affiliations
  1. 1. Department of Environmental Health, Health Care System of Karoon, Ahvaz Jundishapur University of Medical Sciences, Ahvaz, Iran
  2. 2. ARGANS, Sophia-Antipolis, France
  3. 3. Department of Medical Engineering, Dezful Branch, Islamic Azad University, Dezful, Iran
  4. 4. Department of Nutrition, Public Health Center of East, Ahvaz Jundishapur University of Medical Sciences, Ahvaz, Iran
  5. 5. Department of Environmental Health Engineering, School of Health, Isfahan University of Medical Sciences, Isfahan, Iran
  6. 6. Public Health Center of West, Ahvaz Jundishapur University of Medical Sciences, Ahvaz, Iran
  7. 7. Department of Territorial and Production Systems Sustainability, ENEA, Rome, Italy
  8. 8. Environmental Technologies Research Center, Ahvaz Jundishapur University of Medical Sciences, Ahvaz, Iran
  9. 9. Department of Environmental Health Engineering, School of Public Health, Ahvaz Jundishapur University of Medical Sciences, Ahvaz, Iran
  10. 10. Department of Environmental Health, Shahidzadeh Hospital, Behbahan Faculty of Medical Sciences, Behbahan, Iran

Source: Human and Ecological Risk Assessment Published:2019


Abstract

In this study, we have estimated the number of total mortality (T-mortality), cardiovascular morbidity (CV-mortality), respiratory mortality (R-mortality), hospital admissions due to cardiovascular diseases (HA-CVD), respiratory diseases (HA-RD), chronic obstructive pulmonary diseases (COPD) and acute myocardial infarction (AMI) due to exposure to particulate matter less than 10 µm (PM10), 2.5 µm (PM2.5) and sulfur dioxide (SO2) in western Iran in 2016. The World Health Organization (WHO) method was used to assess the mortality and morbidity among the exposed people. The results showed that about 3.9% CM (95% CI: 2.9–7.8%), 3.9% HA-RD (95% CI: 2.4–7.8%) and 4.4% HA-CVD (95% CI: 3.0–6.8%) for ambient PM10 and about 7.3% TM (95% CI: 4.2–9.7%), 12.1% CM (95% CI: 3.5–14.6%) and 3.0% RM (95% CI: 0–6.3%) for PM2.5 are respectively attributed to concentrations exceeding 10 µg/m3. Furthermore, 3.2% HA-COPD (95% CI: 0–5.04%) and 4.2% AMI (95% CI: 1.6–4.3%) can be attributed to SO2 concentrations greater than 10 µg/m3, respectively. To reduce the adverse health effect of PM, health advices provided by health authorities should be given to general population especially vulnerable people such as people with chronic lung and heart pathologies, elderly and children during the dusty days. © 2018, © 2018 Taylor & Francis Group, LLC.
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