Title of article :
Estimation of cardiovascular and respiratory diseases attributed to PM10 using AirQ model in Urmia during 2011-2017
Author/Authors :
Sokoty, Leily Department of Epidemiology - School of Public Health - Iran of University of Medical Sciences, Tehran, Iran , Kermani, Majid Department of Environmental Health Engineering - School of Public Health - Iran University of Medical Sciences, Tehran, Iran , Janani, Leila Department of Biostatistics - School of Public Health - Iran University of Medical Sciences, Tehran, Iran , Dowlat, Mohsen School of Health Management and Information Sciences - Iran University of Medical Sciences, Tehran, Iran , Hassanlouei, Babak Department of Epidemiology - School of Public Health - Iran of University of Medical Sciences, Tehran, Iran , Rimaz, Shahnaz Department of Epidemiology - School of Public Health - Iran of University of Medical Sciences, Tehran, Iran
Pages :
7
From page :
60
To page :
66
Abstract :
Background: Quantification of the attributed effects of air pollution determines the impact of air pollutants on the community and shows the critical condition of air quality. This study aimed to quantify and estimate the cardiovascular and respiratory diseases attributed to PM10 in Urmia during 2011-2016. Methods: In this descriptive-analytic study, at first, hourly data of pollutant PM10 concentrations were received from air pollutants station located in the Department of Environmental Protection. The data were evaluated using AirQ2.2.3 software after primary and secondary processes and filtering. Results: The results showed that the mean annual concentration of PM10 during 2011-2016 was 88.66, 92.45, 81.22, 78.38, 113.78, and 92.67 μg /m3, respectively. The number of hospitalized cases due to respiratory diseases attributed to PM10 in this period was 486, 525, 459, 453, 684, and 552, respectively, and the number of cases due to cardiovascular diseases was 188, 203, 177, 175, 263, and 213, respectively. Conclusion: Considering the attributed health effects of PM10, the necessary measures should be taken to identify the causative agents and to understand the mechanisms of these processes and correct them.
Keywords :
Air Q model , PM10 particles , Cardiorespiratory diseases , Urmia
Journal title :
Medical Journal of the Islamic Republic of Iran
Serial Year :
2020
Record number :
2526033
Link To Document :
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