PDF(Pubmed)
Abstract：
In big and industrial cities of developing countries, illness and mortality from long-term exposure to air pollutants have become a serious issue. This research was carried out in 2019-2020 to estimate the health impacts of PM10, NO2 and O3 pollutants by using AirQ+ and R statistical programming software in Arak, Isfahan, Tabriz, Shiraz, Karaj, and Mashhad. Mortality statistics, number of people in required age groups, and amount of pollutants were gathered respectively from different agencies like Statistics and Information Technology of the Ministry of Health, Statistical Center, and Department of Environment and by using Excel, the average 24-hour and 1-hour concentration and maximum 8-hour concentration for PM10, NO2 and O3 pollutants were gathered. We used linear mixed impacts model to account for the longitudinal observations and heterogeneity of the cities. The results of the study showed high number of deaths due to chronic bronchitis in adults, premature death of infants, and respiratory diseases in Mashhad. This research highlights the importance of estimation of health impacts from exposure to air pollutants on residents of the studied cities.
摘要：
在发展中国家的工业大城市，长期暴露于空气污染物的疾病和死亡率已经成为一个严重的问题。这项研究于2019-2020年进行，通过使用Arak的AirQ和R统计编程软件来估算PM10，NO2和O3污染物的健康影响，伊斯法罕,大不里士,设拉子,卡拉杰,还有马什哈德.死亡率统计，所需年龄组的人数，和污染物的数量分别从卫生部统计和信息技术等不同机构收集，统计中心,和环境部，通过使用Excel，收集了PM10，NO2和O3污染物的平均24小时和1小时浓度以及最大8小时浓度。我们使用线性混合影响模型来解释城市的纵向观测和异质性。研究结果显示成人因慢性支气管炎死亡人数较多,婴儿过早死亡,和马什哈德的呼吸道疾病。这项研究强调了评估暴露于空气污染物对所研究城市居民健康影响的重要性。
