Author: Hongzhou Lu; Jingwen Ai; Yinzhong Shen; Yang Li; Tao Li; Xian Zhou; Haocheng Zhang; Qiran Zhang; Yun Ling; Sheng Wang; Hongping Qu; Yuan Gao; Yingchuan Li; Kanglong Yu; Duming Zhu; Hecheng Zhu; Rui Tian; Mei Zeng; Qiang Li; Yuanlin Song; Xiangyang Li; Jinfu Xu; Jie Xu; Enqiang Mao; Bijie Hu; Xin Li; Lei Zhu; Wenhong Zhang
Title: A descriptive study of the impact of diseases control and prevention on the epidemics dynamics and clinical features of SARS-CoV-2 outbreak in Shanghai, lessons learned for metropolis epidemics prevention Document date: 2020_2_23
ID: dbzrd23n_42
Snippet: The copyright holder for this preprint (which was not peer-reviewed) is . https://doi.org /10.1101 /10. /2020 who were on day 14 of illness, we observed that 9.6% (17/177, 95%CI: 5.6-15.4%) had 235 severe or critically ill COVID-19 while 86.7% (152/177) were stable, and other 4.5% (8/177) 236 cured ( Figure 6 ). By February 11 th , the proportion of patients being mile, moderate, sever 237 and critically ill were 1.9%(5/265), 89.8%(238/265), 3.8%.....
Document: The copyright holder for this preprint (which was not peer-reviewed) is . https://doi.org /10.1101 /10. /2020 who were on day 14 of illness, we observed that 9.6% (17/177, 95%CI: 5.6-15.4%) had 235 severe or critically ill COVID-19 while 86.7% (152/177) were stable, and other 4.5% (8/177) 236 cured ( Figure 6 ). By February 11 th , the proportion of patients being mile, moderate, sever 237 and critically ill were 1.9%(5/265), 89.8%(238/265), 3.8%(10/265), 4.5%(12/265), 238 respectively; 47 (17.7%) people in our cohort were discharged, and 1 (0.38%) patient died. 239
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