Correlations between Meteorological Indicators, Air Quality and the COVID-19 Pandemic in 12 Cities across China
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RESEARCH ARTICLE
Correlations between Meteorological Indicators, Air Quality and the COVID-19 Pandemic in 12 Cities across China Huiying Huang 1 & Xiuji Liang 2 & Jingxiu Huang 3 & Zhaohu Yuan 1 & Handong Ouyang 3 & Yaming Wei 1 & Xiaohui Bai 4 Received: 18 May 2020 / Accepted: 4 October 2020 # Springer Nature Switzerland AG 2020
Abstract 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. Keywords COVID-19 . Average temperature . Wind speed . Relative humidity . Precipitation . Air quality index
Introduction On December 31, 2019 a type of pneumonia of an unknown cause was detected in Wuhan, China and reported to the WHO Huiying Huang and Xiuji Liang contributed equally to this work * Handong Ouyang [email protected] * Xiaohui Bai [email protected] 1
Department of Blood Transfusion, Guangzhou First People’s Hospital, School of Medicine, South China University of Technology, Guangzhou 510180, Guangdong, China
2
Nanjing University of Information Science and Technology, Nanjing 210044, Jiangsu, China
3
Department of Anesthesiology, State Key Laboratory of Oncology in Southern China, Sun Yat-Sen University Cancer Center, Collaborative Innovation Center for Cancer Medicine, Guangzhou, China
4
Department of Anesthesiology, Guangdong Provincial Key Laboratory of Malignant Tumor Epigenetics and Gene Regulation, Sun Yat-Sen Memorial Hospital, Sun Yat-Sen University, Guangzhou, China
(World Health Organization) by China’s Country Office [1, 2]. Soon afterwards, the WHO announced a name for the disease: coronavirus disease 2019 (COVID-19) [3, 4]. COVID-19 is an infectious disease caused by a newly discovered coronavirus. Scientifically named, severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) as per the International Committee on Virus Classification (ICTV) on February 10, 2020 [5, 6]. Most people infected with SARSCoV-2 experience mild to moderate respiratory illness and recover without requiring special treatment. However, elderly and young patients wi
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