文章基本信息

标题：Correlations between Meteorological Indicators, Air Quality and the COVID-19 Pandemic in 12 Cities across China
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作者：Huiying Huang ; Xiuji Liang ; Jingxiu Huang 等
期刊名称：Journal of Environmental Health Science and Engineering
印刷版ISSN：2052-336X
出版年度：2020
卷号：18
期号：2
页码：1491-1498
DOI：10.1007/s40201-020-00564-y
出版社：BioMed Central
摘要：Background :COVID-19 is a global pandemic. The purpose of this study is to explore correlations between the novel coronavirus (COVID-19) and meteorological indicators from cities across China. Methods :We collected daily data of the cumulative number of infected, recovered and death cases, and the meteorological indicators including average temperature, wind speed, relative humidity, precipitation and air quality index (AQI) from 12 cities in China during the period of Jan 23 to Feb 22, 2020. Correlation tests were chosen for data analysis. Results :The average temperature and AQI showed significant association with the mortality rate of COVID-19. The mortality rate was not correlated with wind speed, relative humidity or precipitation. Meanwhile, higher average temperatures and more precipitation were beneficial for the recovery rate of COVID-19, but the recovery rate was not correlated with wind speed, relative humidity or AQI. Conclusions :Our study provides a new basis for correlations between COVID-19, meteorological indicators and air quality index, which can help authorities to combat COVID-19. © Springer Nature Switzerland AG 2020.
关键词：Air quality index;Average temperature;COVID-19;Precipitation;Relative humidity;Wind speed