Author/Authors :
Jafari Ali نويسنده , Kamarehie Bahram نويسنده Department of Environment Health, Lorestan Medical Science University, Khoramabad, Iran. , Mohammadi Aliakbar نويسنده Environmental Health Engineering Department, Para Medicine and Health Faculty, Babol University of Medical Sciences, Babol, IR Iran , Ghaderpoori Mansour نويسنده Student of PhD, Student Research Office, Dept. of Environmental Health Engineering, School of Public Health ,Shahid Beheshti University of Medical Sciences, Tehran, Iran. PhD in Environmental Health, Faculty of Health, Shahid Beheshti University of Medical Sciences, Tehran, Iran. Ghaderpoori Mansour , Karami Mohammadamin نويسنده School of Health and Nutrition, Lorestan University of Medical Sciences, Khorramabad, Iran Karami Mohammadamin , Azarshab Khaled نويسنده Faculty of Environment, Islamic Azad University, West Tehran Branch, Tehran, Iran Azarshab Khaled , Ghaderpoury Afshin نويسنده Students Research Committee, Shahid Beheshti University of Medical Sciences, Tehran, Iran Ghaderpoury Afshin , Noorizadeh Najaf نويسنده Department of Occupational Health, School of Health, Shahid Beheshti University of Medical Sciences, Tehran, Iran Noorizadeh Najaf
Abstract :
Background: Air Quality software is a useful tool for assessing the health risks associated with air pollutants. Quantifying the effects of exposure to air pollutants in terms of public health has become a critical component of policy discussion. The present study purposed to quantify the health effects of particulate matters on mortality and morbidity in a Bukan city hospital from 2015-2016.
Methods: Information regarding coordinates, exposed population, number of stations used in profiling, mean and maximum concentrations (annual, winter, and summer), annual 98th percentile, baseline incidence (BI) per 100 000 per year, and relative risk was needed for use with the software.
Results: The average particulate matter concentration was higher in summer than in winter. The concentrations of PM10 in summer and winter were 84.37 and 74.86 μg m-3, respectively. The Air Quality model predicted that total mortality rates related to PM10 and PM2.5 were 33.3 and 49.8 deaths, respectively. As a result, 3.79% of the total mortality was due to PM10. In Bukan city, 2.004% of total deaths were due to cardiovascular mortality. The Air Quality model predicted that the deaths of 92.2 people were related to hospital admissions for respiratory disease.
Conclusion: The continual evaluation of air quality data is necessary for investigating the effect of pollutants on human health.
