| Literature DB >> 33187555 |
Lei Shi1, Qian Li2, Kang Li1, Jie Zheng1, Yingli He1, Xi Zhang1, Xianfeng Gong3, Wei Wang4, Qing Zhang5, Chao Dai5, Wenxuan Zhao6, Xuefei Meng7, Feng Du8, Pei Fan9, Chunyan Li10, Chunyan Gao11, Yuan Yang1, Xiaojing Liu1, Yunru Chen1, Jinfeng Liu1, Jianzhou Li1, Nan Yang1, Yinghua Niu1, Hongmei Chen1, Guoyu Zhang1, Taotao Yan1, Li Zhu1, Qunying Han1, Wanhu Fan1, Feng Ye1, Zhengwen Liu1, Shumei Lin1, Yingren Zhao1, Tianyan Chen12.
Abstract
OBJECTIVES: A pneumonia associated with 2019 novel coronavirus (2019-nCoV, subsequently named SARS-CoV2) emerged worldwide since December, 2019. We aimed to describe the epidemiological characteristics of 2019 coronavirus disease (COVID-19) in Shaanxi province of China.Entities:
Keywords: COVID-19; Epidemiological features; Family cluster; SARS-CoV2
Mesh:
Year: 2020 PMID: 33187555 PMCID: PMC7661832 DOI: 10.1186/s13104-020-05342-5
Source DB: PubMed Journal: BMC Res Notes ISSN: 1756-0500
Fig. 1Gender and age distribution of COVID-19 patients in Shaanxi, China. a Gender distribution. b Age distribution. c Clinical type
Fig. 2Time distribution of COVID-19 in Shaanxi, China. a Input case, non-input case and unknown exposure by diagnosis date. b Number of cases by onset and diagnosis date
Fig. 3Geographical distribution by time of COVID-19 patients in Shaanxi, China. a By January 23, 2020. b By February 1, 2020. c By February 11, 2020. d By February 22, 2020. Drawn by ArcGIS Online, https://www.esri.com/zh-cn/arcgis/products/arcgis-online/