Data on the correlation between climate indicators and the COVID-19 pandemic in 12 cities in China

This fileset contains 2 data files. Raw Data.xlsx is in .xlsx file format and Difference statistics.docx in .docx file format.Dataset Raw Data.xlsx contains daily data of the cumulative number of infected cases, cured cases and death, and the climate indicators including average temperature, wind speed, relative humidity, precipitation and the air quality index (AQI) in 12 cities in China during the period of Jan 23rd to Feb 22nd, 2020. The 12 cities for which data are reported, are: Guangzhou, Chongqing, Hefei, Shanghai, Beijing, Harbin, Xinyang, Changsha, Nanchang, Xianning, Shenzhen and Wenzhou.Dataset Difference statistics.docx contains the results of the statistical analyses. Data were analysed by SPSS 21.0.Study aims and methodology: The purpose of the present study was to explore the correlation between the novel coronavirus disease 2019 (COVID-19) and climate indicators in cities of China.Twelve cities including Guangzhou, Chongqing, Hefei, Shanghai, Beijing, Harbin, Xinyang, Changsha, Nanchang, Xianning, Shenzhen, Wenzhou were chosen as the study objects. Daily officially reported total number of infected cases, cured cases and death in the 12 cities during the period ofJan 23 to Feb 22, 2020, were obtained. The data of climate indicators including average temperature, wind speed, relative humidity, precipitation and air quality index (AQI) in the cities above were obtained from the National Meteorological Center (http://www.nmc.cn/publish/observations/hourly-precipitation.html). Wuhan was excluded as it was the first place reported the COVID-19 case. Also Wuhan had the severe burst and extremely dense crowds.For more details on the methodology and statistical analysis, please read the related article.