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Epidemiology and Transmission of COVID-19 in Shenzhen China: Analysis of 391 cases and 1,286 of their close contacts
Qifang Bi; Yongsheng Wu; Shujiang Mei; Chenfei Ye; Xuan Zou; Zhen Zhang; Xiaojian Liu; Lan Wei; Shaun A Truelove; Tong Zhang; Wei Gao; Cong Cheng; Xiujuan Tang; Xiaoliang Wu; Yu Wu; Binbin Sun; Suli Huang; Yu Sun; Juncen Zhang; Ting Ma; Justin Lessler; Teijian Feng.
Affiliation
  • Qifang Bi; Johns Hopkins Bloomberg School of Public Health
  • Yongsheng Wu; Shenzhen Center for Disease Control and Prevention, Shenzhen, China
  • Shujiang Mei; Shenzhen Center for Disease Control and Prevention, Shenzhen, China
  • Chenfei Ye; Peng Cheng Laboratory, Shenzhen, China
  • Xuan Zou; Shenzhen Center for Disease Control and Prevention
  • Zhen Zhang; Shenzhen Center for Disease Control and Prevention, Shenzhen, China
  • Xiaojian Liu; Shenzhen Center for Disease Control and Prevention, Shenzhen, China
  • Lan Wei; Shenzhen Center for Disease Control and Prevention, Shenzhen, China
  • Shaun A Truelove; Johns Hopkins Bloomberg School of Public Health
  • Tong Zhang; Peng Cheng Laboratory
  • Wei Gao; Shenzhen Center for Disease Control and Prevention, Shenzhen, China
  • Cong Cheng; Shenzhen Center for Disease Control and Prevention, Shenzhen, China
  • Xiujuan Tang; Shenzhen Center for Disease Control and Prevention, Shenzhen, China
  • Xiaoliang Wu; Shenzhen Center for Disease Control and Prevention, Shenzhen, China
  • Yu Wu; Shenzhen Center for Disease Control and Prevention, Shenzhen, China
  • Binbin Sun; Peng Cheng Laboratory, Shenzhen, China
  • Suli Huang; Shenzhen Center for Disease Control and Prevention, Shenzhen, China
  • Yu Sun; Peng Cheng Laboratory
  • Juncen Zhang; Peng Cheng Laboratory, Shenzhen, China
  • Ting Ma; Peng Cheng Laboratory, Shenzhen, China
  • Justin Lessler; Johns Hopkins Bloomberg School of Public Health
  • Teijian Feng; Shenzhen Center for Disease Control and Prevention, Shenzhen, China
Preprint in English | medRxiv | ID: ppmedrxiv-20028423
ABSTRACT
BackgroundRapid spread of SARS-CoV-2 in Wuhan prompted heightened surveillance in Shenzhen and elsewhere in China. The resulting data provide a rare opportunity to measure key metrics of disease course, transmission, and the impact of control. MethodsThe Shenzhen CDC identified 391 SARS-CoV-2 cases from January 14 to February 12, 2020 and 1286 close contacts. We compare cases identified through symptomatic surveillance and contact tracing, and estimate the time from symptom onset to confirmation, isolation, and hospitalization. We estimate metrics of disease transmission and analyze factors influencing transmission risk. FindingsCases were older than the general population (mean age 45) and balanced between males (187) and females (204). Ninety-one percent had mild or moderate clinical severity at initial assessment. Three have died, 225 have recovered (median time to recovery is 21 days). Cases were isolated on average 4.6 days after developing symptoms; contact tracing reduced this by 1.9 days. Household contacts and those travelling with a case where at higher risk of infection (ORs 6 and 7) than other close contacts. The household secondary attack rate was 15%, and children were as likely to be infected as adults. The observed reproductive number was 0.4, with a mean serial interval of 6.3 days. InterpretationOur data on cases as well as their infected and uninfected close contacts provide key insights into SARS-CoV-2 epidemiology. This work shows that heightened surveillance and isolation, particularly contact tracing, reduces the time cases are infectious in the community, thereby reducing R. Its overall impact, however, is uncertain and highly dependent on the number of asymptomatic cases. We further show that children are at similar risk of infection as the general population, though less likely to have severe symptoms; hence should be considered in analyses of transmission and control.
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Full text: Available Collection: Preprints Database: medRxiv Type of study: Observational study / Prognostic study Language: English Year: 2020 Document type: Preprint
Full text: Available Collection: Preprints Database: medRxiv Type of study: Observational study / Prognostic study Language: English Year: 2020 Document type: Preprint
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