G Goudarzi1, S M Daryanoosh2, H Godini3, P K Hopke4, P Sicard5, A De Marco6, H D Rad7, A Harbizadeh7, F Jahedi7, M J Mohammadi8, J Savari7, S Sadeghi9, Z Kaabi7, Y Omidi Khaniabadi10. 1. Air Pollution and Respiratory Diseases Research Center, Ahvaz Jundishapur University of Medical Sciences, Ahvaz, Iran; Environmental Technologies Research Center (ETRC), Ahvaz Jundishapur University of Medical Sciences, Ahvaz, Iran. 2. Health Center of Hendijan, Ahvaz Jundishapur University of Medical Sciences, Ahvaz, Iran. 3. Department of Environmental Health Engineering, Faculty of Health, Alborz University of Medical Sciences, Karaj, Iran. 4. Center for Air Resources Engineering and Science, Clarkson University, Potsdam, NY 13699, USA; Department of Public Health Sciences, University of Rochester School of Medicine and Dentistry, Rochester, NY 14619, USA. 5. ACRI-HE, 260 route du Pin Montard, Sophia-Antipolis, France. 6. Department of Territorial and Production Systems Sustainability, SSPT-MET-INAT, ENEA, Via Anguillarese 301, 00123 Rome, Italy. 7. Department of Environmental Health Engineering, School of Public Health, Ahvaz Jundishapur University of Medical Sciences, Ahvaz, Iran. 8. Abadan School of Medical Sciences, Abadan, Iran. 9. Environmental Health Research Center, Kurdistan University of Medical Sciences, Sanandaj, Iran. 10. Health Care System of Karoon, Ahvaz Jundishapur University of Medical Sciences, Ahvaz, Iran. Electronic address: yusef_omidi@yahoo.com.
Abstract
OBJECTIVE: This study assessed the effects of particulate matter (PM), equal or less than 10 μm in aerodynamic diameter (PM10), from the Middle-Eastern Dust events on public health in the megacity of Kermanshah (Iran). STUDY DESIGN: This study used epidemiological modeling and monitored ambient air quality data to estimate the potential PM10 impacts on public health. METHODS: The AirQ2.2.3 model was used to calculate mortality and morbidity attributed to PM10 as representative of dust events. Using Visual Basic for Applications, the programming language of Excel software, hourly PM10 concentrations obtained from the local agency were processed to prepare input files for the AirQ2.2.3 model. RESULTS: Using baseline incidence, defined by the World Health Organization, the number of estimated excess cases for respiratory mortality, hospital admissions for chronic obstructive pulmonary disease, for respiratory diseases, and for cardiovascular diseases were 37, 39, 476, and 184 persons, respectively, from 21st March, 2014 to 20th March, 2015. Furthermore, 92% of mortality and morbidity cases occurred in days with PM10 concentrations lower than 150 μg/m3. The highest percentage of person-days occurred for daily concentrations range of 100-109 μg/m3, causing the maximum health end-points among the citizens of Kermanshah. CONCLUSIONS: Calculating the number of cumulative excess cases for mortality or morbidity attributed to PM10 provides a good tool for decision and policy-makers in the field of health care to compensate their shortcomings particularly at hospital and healthcare centers for combating dust storms. To diminish these effects, several immediate actions should be managed in the governmental scale to control dust such as spreading mulch and planting new species that are compatible to arid area.
OBJECTIVE: This study assessed the effects of particulate matter (PM), equal or less than 10 μm in aerodynamic diameter (PM10), from the Middle-Eastern Dust events on public health in the megacity of Kermanshah (Iran). STUDY DESIGN: This study used epidemiological modeling and monitored ambient air quality data to estimate the potential PM10 impacts on public health. METHODS: The AirQ2.2.3 model was used to calculate mortality and morbidity attributed to PM10 as representative of dust events. Using Visual Basic for Applications, the programming language of Excel software, hourly PM10 concentrations obtained from the local agency were processed to prepare input files for the AirQ2.2.3 model. RESULTS: Using baseline incidence, defined by the World Health Organization, the number of estimated excess cases for respiratory mortality, hospital admissions for chronic obstructive pulmonary disease, for respiratory diseases, and for cardiovascular diseases were 37, 39, 476, and 184 persons, respectively, from 21st March, 2014 to 20th March, 2015. Furthermore, 92% of mortality and morbidity cases occurred in days with PM10 concentrations lower than 150 μg/m3. The highest percentage of person-days occurred for daily concentrations range of 100-109 μg/m3, causing the maximum health end-points among the citizens of Kermanshah. CONCLUSIONS: Calculating the number of cumulative excess cases for mortality or morbidity attributed to PM10 provides a good tool for decision and policy-makers in the field of health care to compensate their shortcomings particularly at hospital and healthcare centers for combating dust storms. To diminish these effects, several immediate actions should be managed in the governmental scale to control dust such as spreading mulch and planting new species that are compatible to arid area.
Authors: Sahar Geravandi; Pierre Sicard; Yusef Omidi Khaniabadi; Alessandra De Marco; Ali Ghomeishi; Gholamreza Goudarzi; Mohammad Mahboubi; Ahmad Reza Yari; Sina Dobaradaran; Ghasem Hassani; Mohammad Javad Mohammadi; Shahram Sadeghi Journal: Environ Sci Pollut Res Int Date: 2017-06-19 Impact factor: 4.223
Authors: Sayantee Roy; Sanjay Kumar Gupta; Jai Prakash; Gazala Habib; Kuldeep Baudh; Mahmoud Nasr Journal: Environ Sci Pollut Res Int Date: 2019-08-22 Impact factor: 4.223
Authors: Pierre Sicard; Yusef Omidi Khaniabadi; Sandra Perez; Maurizio Gualtieri; Alessandra De Marco Journal: Environ Sci Pollut Res Int Date: 2019-09-12 Impact factor: 4.223
Authors: Yusef Omidi Khaniabadi; Mohammad Daryanoosh; Pierre Sicard; Afshin Takdastan; Philip K Hopke; Shirin Esmaeili; Alessandra De Marco; Rajab Rashidi Journal: Environ Sci Pollut Res Int Date: 2018-04-18 Impact factor: 4.223
Authors: Yuef Omidi Khaniabadi; Roberto Fanelli; Alessandra De Marco; Seyed Mohammad Daryanoosh; Itai Kloog; Philip K Hopke; Gea Oliveri Conti; Margherita Ferrante; Mohammad Javad Mohammadi; Ali Akbar Babaei; Hassan Basiri; Gholamreza Goudarzi Journal: Environ Sci Pollut Res Int Date: 2017-06-01 Impact factor: 4.223
Authors: Lirong Liang; Yutong Cai; Benjamin Barratt; Baolei Lyu; Queenie Chan; Anna L Hansell; Wuxiang Xie; Di Zhang; Frank J Kelly; Zhaohui Tong Journal: Lancet Planet Health Date: 2019-06