A cross-sectional study of the epidemic situation on COVID-19 in Gansu Province, China - a big data analysis of the national health information platform.
Xuanchen YanJianjian WangJingwen YaoJanne EstillShouyuan WuJie LuBaoping LiangHongmin LiShengxin TaoHuanli BaiHongliang LiuYaolong Chennull nullPublished in: BMC infectious diseases (2021)
More women than men were diagnosed with COVID-19 in Gansu Province. Although the age range of confirmed cases of COVID-19 in Gansu Province covered almost all age groups, most patients with confirmed COVID-19 tend to be middle aged persons. The most common suspected mode of transmission was through family cluster. Gansu and other settings worldwide should continue to strengthen the utilization of big data in epidemic control.
Keyphrases
- big data
- coronavirus disease
- sars cov
- artificial intelligence
- health information
- machine learning
- middle aged
- south africa
- respiratory syndrome coronavirus
- social media
- physical activity
- healthcare
- polycystic ovary syndrome
- pulmonary embolism
- type diabetes
- high throughput
- adipose tissue
- pregnant women
- pregnancy outcomes