Estimation of health effects (morbidity and mortality) attributed to PM10 and PM2.5 exposure using an Air Quality model in Bukan city, from 2015-2016 exposure using air quality model

Authors

  • Azarshab, Khaled Faculty of Environment, Islamic Azad University, West Tehran Branch, Tehran, Iran
  • Kamarehie, Bahram School of Health and Nutrition, Lorestan University of Medical Sciences, Khorramabad, Iran
  • Ghaderpoori, Mansour School of Health and Nutrition, Lorestan University of Medical Sciences, Khorramabad, Iran
  • Ghaderpoury , Afshin Students Research Committee, Shahid Beheshti University of Medical Sciences, Tehran, Iran
  • Jafari, Ali School of Health and Nutrition, Lorestan University of Medical Sciences, Khorramabad, Iran
  • Karami, Mohammadamin School of Health and Nutrition, Lorestan University of Medical Sciences, Khorramabad, Iran
  • Mohammadi, Aliakbar Department of Environmental Health Engineering, Neyshabur University of Medical Sciences, Neyshabur, Iran
  • Noorizadeh, Najaf Department of Occupational Health, School of Health, Shahid Beheshti University of Medical Sciences, Tehran, Iran
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.

Upgrade to premium to download articles

Sign up to access the full text

Already have an account?login

similar resources

Health impact assessment of exposure to PM10 in Ilam city using Air Q software

Air pollution is a major environmental issue in the world that can be harmful for human health. The aim of this study was to determine the health impacts of particulate matter with an aerodynamic diameter ≤10μm (PM10) in Ilam in 2013 and 2014. The air pollution data were obtained from the Ilam Department of Environmental Protection. The data were analyzed by Excel software, and...

full text

Estimation of Health Effects Attributed to NO2 Exposure Using AirQ Model

Background & Aims of the Study: As an air pollutant, NO2 reacts with ammonia, moisture and other compounds to form small particles. These small particles may cause or aggravate respiratory diseases and exacerbate existing heart diseases, leading to increased hospital admissions and premature death. In this study, the AirQ2.2.3 model was used to evaluate adverse health effects caused by NO2 ...

full text

Quantification of health effects related to SO2 and NO2 pollutants by using Air quality model

In the past few decades, the results of epidemiological studies have shown that there is a significant relationship between human health and air pollution. The aim of this study was to quantify the health effects, the estimated number of cases of death, cardiovascular and respiratory deaths attributed to NO2 and SO2 pollutants in Bukan city by Air Quality software. Bukan city has a population o...

full text

Letter to the Editor: Applications Air Q Model on Estimate Health Effects Exposure to Air Pollutants

Epidemiologic studies in worldwide have measured increases in mortality and morbidity associated with air pollution (1-3). Quantifying the effects of air pollution on the human health in urban area causes an increasingly critical component in policy discussion (4-6). Air Q model was proved to be a valid and reliable tool to predicts health effects related to criteria  pollutants (particula...

full text

Prediction of Indoor Air Exposure from Outdoor Air Quality Using an Artificial Neural Network Model for Inner City Commercial Buildings

NO₂ and particulate matter are the air pollutants of most concern in Ireland, with possible links to the higher respiratory and cardiovascular mortality and morbidity rates found in the country compared to the rest of Europe. Currently, air quality limits in Europe only cover outdoor environments yet the quality of indoor air is an essential determinant of a person's well-being, especially sinc...

full text

My Resources

Save resource for easier access later

Save to my library Already added to my library

{@ msg_add @}


Journal title

volume 4  issue None

pages  137- 142

publication date 2017-06

By following a journal you will be notified via email when a new issue of this journal is published.

Keywords

No Keywords

Hosted on Doprax cloud platform doprax.com

copyright © 2015-2023