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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
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.
Affiliation
  • Hongzhou Lu; Shanghai Public Health Clinical Center, Fudan University, Shanghai, China
  • Jingwen Ai; Department of infectious disease, Huashan Hospital of Fudan University, Shanghai, China
  • Yinzhong Shen; Shanghai Public Health Clinical Center, Fudan University, Shanghai, China
  • Yang Li; Department of infectious disease, Huashan Hospital of Fudan University, Shanghai, China
  • Tao Li; Shanghai Public Health Clinical Center, Fudan University, Shanghai, China
  • Xian Zhou; Department of infectious disease, Huashan Hospital of Fudan University, Shanghai, China
  • Haocheng Zhang; Department of infectious disease, Huashan Hospital of Fudan University, Shanghai, China
  • Qiran Zhang; Department of infectious disease, Huashan Hospital of Fudan University, Shanghai, China
  • Yun Ling; Shanghai Public Health Clinical Center, Fudan University, Shanghai, China
  • Sheng Wang; Shanghai Tenth People's Hospital of Tongji University, Shanghai, China
  • Hongping Qu; Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China
  • Yuan Gao; Renji Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China
  • Yingchuan Li; Shanghai Sixth People's Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China
  • Kanglong Yu; Shanghai General Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China
  • Duming Zhu; Zhongshan Hospital of Fudan University, Shanghai, China
  • Hecheng Zhu; Department of Critical Care Medicine, Huashan Hospital of Fudan University, Shanghai, China
  • Rui Tian; Shanghai General Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China
  • Mei Zeng; Children's Hospital of Fudan University, Shanghai, China
  • Qiang Li; Shanghai East Hospital of Tongji University, Shanghai, China
  • Yuanlin Song; Zhongshan Hospital of Fudan University, Shanghai, China
  • Xiangyang Li; Huadong Hospital of Fudan University, Shanghai, China
  • Jinfu Xu; Shanghai Pulmonary Hospital of Tongji University, Shanghai, China
  • Jie Xu; Shanghai Ninth People's Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China
  • Enqiang Mao; Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China
  • Bijie Hu; Zhongshan Hospital of Fudan University, Shanghai, China
  • Xin Li; Zhongshan Hospital of Fudan University, Shanghai, China
  • Lei Zhu; Zhongshan Hospital of Fudan University, Shanghai, China
  • Wenhong Zhang; Department of infectious disease, Huashan Hospital of Fudan University, Shanghai, China
Preprint de En | PREPRINT-MEDRXIV | ID: ppmedrxiv-20025031
ABSTRACT
ObjectiveTo describe and evaluate the impact of diseases control and prevention on epidemics dynamics and clinical features of SARS-CoV-2 outbreak in Shanghai. DesignA retrospective descriptive study SettingChina ParticipantsEpidemiology information was collected from publicly accessible database. 265 patients admitted to Shanghai Public Health Center with confirmed COVID-19 were enrolled for clinical features analysis. Main outcome measurePrevention and control measures taken by Shanghai government, epidemiological, demographic, clinical, laboratory and radiology data were collected. Weibull distribution, Chi-square test, Fishers exact test, t test or Mann-Whitney U test were used in statistical analysis. ResultsCOVID-19 transmission rate within Shanghai had reduced over 99% than previous speculated, and the exponential growth has been stopped so far. Epidemic was characterized by the first stage mainly composed of imported cases and the second stage where >50% of cases were local. The incubation period was 6.4 (95% CI 5.3 to 7.6) days and the mean onset-admission interval was 5.5 days (95% CI, 5.1 to 5.9). Median time for COVID-19 progressed to severe diseases were 8.5 days (IQR 4.8-11.0 days). By February 11th, proportion of patients being mild, moderate, severe and critically ill were 1.9%(5/265), 89.8%(238/265), 3.8%(10/265), 4.5%(12/265), respectively; 47 people in our cohort were discharged, and 1 patient died. ConclusionStrict controlling of the transmission rate at the early stage of an epidemic in metropolis can quickly prohibit the spread of the diseases. Controlling local clusters is the key to prevent outbreaks from imported cases. Most COVID-19 severe cases progressed within 14 days of disease onset. Multiple systemic laboratory abnormalities had been observed before significant respiratory dysfunction.
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Texte intégral: 1 Collection: 09-preprints Base de données: PREPRINT-MEDRXIV Type d'étude: Cohort_studies / Experimental_studies / Observational_studies / Prognostic_studies Langue: En Année: 2020 Type de document: Preprint
Texte intégral
Ajouter à My VHL
Imprimer
XML
Recherche sur Google
Texte intégral: 1 Collection: 09-preprints Base de données: PREPRINT-MEDRXIV Type d'étude: Cohort_studies / Experimental_studies / Observational_studies / Prognostic_studies Langue: En Année: 2020 Type de document: Preprint