Table 1.
Database | data provider | Source |
---|---|---|
COVID-19 | ||
Confirmed COVID-19 cases | Provincial Health Committees which contained data of each city | Official website of health commission of 34 provincial-level administrative units and 342 city-level units |
Severe COVID-19 cases | Provincial Health Committees which contained data of each city | Official website Health commission of 34 provincial-level |
COVID-19 deaths | Provincial Health Committees which contained data of each city | Official website of health commission of 34 provincial-level administrative units and 342 city-level units |
Human mobility data | ||
Outflow from Wuhan | Baidu location-based services mobile phone data provided by the telecommunications operators | https://qianxi.baidu.com/ |
Within-city movements | The activities index of human mobility with a city | https://qianxi.baidu.com/ |
Meteorological data | ||
PM2.5, PM10, SO2, CO, NO2, and O3 | China National Environmental Monitoring Centre,2015–2019 | http://www.cnemc.cn/ |
Temperature | Mean Temperature of Warmest/Coldest Quarter (2015–2019) | https://www.worldclim.org/data/bioclim.html |
Rainfall | Precipitation of Warmest/Coldest Quarter (2015–2019) | https://www.worldclim.org/data/bioclim.html |
Relative Humidity | National Meteorological Information Center (CMA Meteorological Data Center, 2015–2019) | http://data.cma.cn/ |
Demographic data | ||
Gross domestic product (GDP) | China City Statistical Yearbook 2019 | http://www.stats.gov.cn/tjsj/ndsj/2019/indexeh.htm |
Age structure | Sixth National Population Census of the People’s Republic of China (2013) | http://www.stats.gov.cn/tjsj/pcsj/rkpc/6rp/indexch.htm |
Smoking and second-hand smoking prevalence | Chinese National Nutrition and Health Survey (NNHS) | PMID: 24698853 |
Hospital beds | China City Statistical Yearbook 2019 | http://www.stats.gov.cn/tjsj/ndsj/2019/indexeh.htm |
Illiteracy rate | Sixth National Population Census of the People’s Republic of China (2013) | http://www.stats.gov.cn/tjsj/pcsj/rkpc/6rp/indexch.htm |
COVID-19, coronavirus disease 2019; PM2.5, particulate matter ≤ 2.5 μm; PM10, particulate matter ≤ 10 μm; SO2, sulfur dioxide; CO, carbon monoxide; NO2, nitrogen dioxide; O3, ozone; CMA, China Meteorological Administration.