Vahedian Mostafa, Sharafkhani Rahim, Pournia Yadollah
Department of Social Medicine, Faculty of Medical Sciences, Qom University of Medical Sciences, Qom, Iran.
Research Center for Environmental Pollutants, Qom University of Medical Sciences, Qom, Iran.
Int J Environ Health Res. 2023 Dec;33(12):1515-1524. doi: 10.1080/09603123.2022.2104821. Epub 2022 Aug 2.
The present study was conducted to assess the short-term effects of the meteorological factors on the COVID-19 mortality in Qom, Iran. The GAM with a quasi-Poisson link function was used to evaluate the impact of temperature, DTR, relative humidity, and absolute humidity on the COVID-19 mortality, controlling potential confounders such as time trend, air pollutants, and day of the week. The results showed that the risk of COVID-19 mortality was reduced, in single-day lag/multiple-day average lag, per one-unit increase in absolute humidity (percentage change in lag 0=-33.64% (95% CI (-42.44, -23.49)), and relative humidity (percentage change in lag 0=-1.87% (95% CI (-2.52, -1.22)). Also, per one-unit increase in DTR value, COVID death risk increased in single-day and multiple-day average lag. This study demonstrated a significant relationship between the four meteorological variables and the COVID-19 mortality.
本研究旨在评估气象因素对伊朗库姆地区新冠肺炎死亡率的短期影响。采用具有拟泊松连接函数的广义相加模型（GAM）来评估温度、日较差（DTR）、相对湿度和绝对湿度对新冠肺炎死亡率的影响，并控制时间趋势、空气污染物和星期几等潜在混杂因素。结果表明，在单日滞后/多日平均滞后情况下，绝对湿度每增加一个单位，新冠肺炎死亡风险降低（滞后0天的百分比变化=-33.64%（95%置信区间（-42.44，-23.49））），相对湿度每增加一个单位，新冠肺炎死亡风险也降低（滞后0天的百分比变化=-1.87%（95%置信区间（-2.52，-1.22）））。此外，日较差值每增加一个单位，单日和多日平均滞后情况下的新冠肺炎死亡风险均增加。本研究表明这四个气象变量与新冠肺炎死亡率之间存在显著关系。
