Dowlatabadi Yousef, Khajeh Zohre Edalati, Mohammadi Mitra, Sarkhosh Maryam, Mohammad Seyed, Moezzi Mahdi
School of Medicine, Mashhad University of Medical Sciences, Mashhad, Iran.
Department of Environmental Science, Kheradgarayan Motahar Institute of Higher Education, Mashhad, Iran.
Sci Rep. 2024 Dec 28;14(1):31468. doi: 10.1038/s41598-024-83185-x.
Air pollution, a global health hazard, significantly impacts mortality, cardiovascular health, mental well-being, and overall human health. This study aimed to investigate the impact of air pollution and meteorological factors on cardiovascular mortality rates in Mashhad City, northeastern Iran in 2017-2020. We utilized a Random Forest (RF) model in this study. We gathered daily meteorological data (pressure, humidity, temperature, solar radiation) from 2017 to 2020, pollutant levels (PM, PM, SO, NO, CO), and cardiovascular mortality data from the Health System Registration (Sina). The RF model was then applied in Excel and Python to analyze the interplay between these variables. we found that time, air pressure, and temperature significantly impacted cardiovascular mortality. Among pollutants, NO and SO were the most influential. Overall, meteorological factors had a greater impact than pollutants.Furthermore, we discovered that cardiovascular mortality increased with time, higher air pressure, colder seasons, and higher temperatures. Among pollutants, CO, NO, SO, PM, and PM significantly impacted mortality rates. These findings highlight the importance of understanding the relationship between diseases, climatic factors, and pollution. Environmental factors like climate change and air pollution play a significant role in cardiovascular mortality. Therefore, it is vital for individuals, especially those with heart conditions, to pay attention to weather alerts.
空气污染是一种全球性的健康危害,对死亡率、心血管健康、心理健康以及整体人类健康都有重大影响。本研究旨在调查2017 - 2020年期间空气污染和气象因素对伊朗东北部马什哈德市心血管死亡率的影响。在本研究中我们使用了随机森林(RF)模型。我们收集了2017年至2020年的每日气象数据(气压、湿度、温度、太阳辐射)、污染物水平(PM、PM、SO、NO、CO)以及来自卫生系统登记处(新浪)的心血管死亡率数据。然后在Excel和Python中应用RF模型来分析这些变量之间的相互作用。我们发现时间、气压和温度对心血管死亡率有显著影响。在污染物中,NO和SO的影响最大。总体而言,气象因素的影响比污染物更大。此外,我们发现心血管死亡率随着时间、更高的气压、更寒冷的季节以及更高的温度而增加。在污染物中,CO、NO、SO、PM和PM对死亡率有显著影响。这些发现凸显了理解疾病、气候因素和污染之间关系的重要性。气候变化和空气污染等环境因素在心血管死亡率中起着重要作用。因此,对于个人,尤其是患有心脏病的人来说,关注天气警报至关重要。