Department of Environmental Health Engineering, Social Determinants of Health Research Center, Mashhad University of Medical Sciences, Mashhad, Iran.
Department of Environmental Health Engineering, Faculty of Health and Nutrition, Bushehr University of Medical Sciences, Bushehr, Iran; Systems Environmental Health and Energy Research Center, The Persian Gulf Biomedical Sciences Research Institute, Bushehr University of Medical Sciences, Bushehr, Iran.
Chemosphere. 2021 Jan;262:128091. doi: 10.1016/j.chemosphere.2020.128091. Epub 2020 Aug 23.
Asthma is a common chronic respiratory disease in the world. Short-term exposure to ambient air pollutants is closely related to acute respiratory diseases and asthmatic symptoms. The purpose of this research was to estimate the correlation between exposure to three air pollutants (O, NO, and SO) and hospital admission because of asthmatic disease (HAAD) in the city of Shiraz, southern Iran. The data were collected from the two real-time monitoring stations located in this city. The acquired information was used for developing predictive models by the AirQ software. The findings of this study were reported for two age groups (<15 and 15-64 years old). The highest levels of O, NO, and SO were obtained 187.33 μg/m, 34.1 μg/m, and 491.2 μg/m in 2016, respectively, and 227.75 μg/m, 92.26 μg/m, and 190.21 μg/m, respectively, in 2017. Among the mentioned pollutants, the yearly average concentration of SO was 8.62 times more than the WHO guideline, during the studied times. The number of extra cases of HAAD for <15 years and 15-64 years caused by the air pollutants in Shiraz were estimated to be 273 and 36, respectively, in 2016, and 243 and 30 for 2017, respectively. The results of this work displayed that air pollutants have caused respiratory problems in Shiraz city. The AirQ model is a facile and potential tool for the prediction of asthma disease to reduce the health risk of atmospheric pollutants in the worldwide.
哮喘是世界范围内常见的慢性呼吸道疾病。短期暴露于环境空气污染物与急性呼吸道疾病和哮喘症状密切相关。本研究旨在评估三种空气污染物（O、NO 和 SO）暴露与伊朗南部设拉子市因哮喘病（HAAD）住院之间的相关性。数据来自该城市的两个实时监测站。AirQ 软件用于开发预测模型。该研究的结果报告了两个年龄组（<15 岁和 15-64 岁）。2016 年，O、NO 和 SO 的最高浓度分别为 187.33μg/m、34.1μg/m 和 491.2μg/m，2017 年分别为 227.75μg/m、92.26μg/m 和 190.21μg/m。在所提到的污染物中，SO 的年平均浓度在研究期间是世界卫生组织指南的 8.62 倍。2016 年，空气污染物导致设拉子市<15 岁和 15-64 岁人群因哮喘病额外增加的病例数分别为 273 例和 36 例，2017 年分别为 243 例和 30 例。这项工作的结果表明，空气污染物已经导致设拉子市出现呼吸问题。AirQ 模型是一种简单而有潜力的预测哮喘疾病的工具，可以降低全球大气污染物对健康的风险。
