Department of Respiratory and Critical Care Medicine, General Hospital of Northern Theater Command, 83 Wen Hua Rd, Shenyang 110801, Liaoning, China.
Department of Neurosurgery, Shanghai Chang Hai Hospital Affiliated to China Second Military Medical University, 168 Chang Hai Rd, Shanghai 200433, China.
Int J Infect Dis. 2020 Aug;97:278-282. doi: 10.1016/j.ijid.2020.05.076. Epub 2020 Jun 2.
Although COVID-19 is known to be caused by human-to-human transmission, it remains largely unclear whether ambient air pollutants and meteorological parameters could promote its transmission.
A retrospective study was conducted to study whether air quality index (AQI), four ambient air pollutants (PM, PM, NO and CO) and five meteorological variables (daily temperature, highest temperature, lowest temperature, temperature difference and sunshine duration) could increase COVID-19 incidence in Wuhan and XiaoGan between Jan 26th to Feb 29th in 2020.
First, a significant correlation was found between COVID-19 incidence and AQI in both Wuhan (R=0.13, p<0.05) and XiaoGan (R=0.223, p<0.01). Specifically, among four pollutants, COVID-19 incidence was prominently correlated with PM and NO in both cities. In Wuhan, the tightest correlation was observed between NO and COVID-19 incidence (R=0.329, p<0.01). In XiaoGan, in addition to the PM (R=0.117, p<0.01) and NO (R=0.015, p<0.05), a notable correlation was also observed between the PM and COVID-19 incidence (R=0.105, p<0.05). Moreover, temperature is the only meteorological parameter that constantly correlated well with COVID-19 incidence in both Wuhan and XiaoGan, but in an inverse correlation (p<0.05).
AQI, PM, NO, and temperature are four variables that could promote the sustained transmission of COVID-19.
虽然已知 COVID-19 是人与人之间传播的，但大气污染物和气象参数是否会促进其传播仍在很大程度上不清楚。
本回顾性研究旨在研究空气质量指数（AQI）、四种大气污染物（PM、PM、NO 和 CO）和五种气象变量（日温度、最高温度、最低温度、温差和日照时间）是否会增加 2020 年 1 月 26 日至 2 月 29 日武汉和孝感的 COVID-19 发病率。
首先，在武汉（R=0.13，p<0.05）和孝感（R=0.223，p<0.01），COVID-19 发病率与 AQI 之间均存在显著相关性。具体而言，在四种污染物中，COVID-19 发病率与 PM 和 NO 在两个城市均呈显著相关。在武汉，NO 与 COVID-19 发病率之间的相关性最为紧密（R=0.329，p<0.01）。在孝感，除了 PM（R=0.117，p<0.01）和 NO（R=0.015，p<0.05）之外，PM 与 COVID-19 发病率之间也存在显著相关性（R=0.105，p<0.05）。此外，温度是唯一一个与武汉和孝感 COVID-19 发病率持续相关的气象参数，但呈负相关（p<0.05）。
AQI、PM、NO 和温度是促进 COVID-19 持续传播的四个变量。
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