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A database for the epidemic trends and control measures during the first wave of COVID-19 in mainland China

Authors
  • Fu, H
  • Wang, H
  • Xi, X
  • Boonyasiri, A
  • Wang, Y
  • Hinsley, W
  • Fraser, KJ
  • McCabe, R
  • Olivera Mesa, D
  • Skarp, J
  • Ledda, A
  • Dewé, T
  • Dighe, A
  • Winskill, P
  • Van Elsland, SL
  • Ainslie, KEC
  • Baguelin, M
  • Bhatt, S
  • Boyd, O
  • Brazeau, NF
  • And 41 more
Publication Date
Oct 23, 2020
Source
UPCommons. Portal del coneixement obert de la UPC
Keywords
License
Unknown

Abstract

Objectives: This data collation effort aims to provide a comprehensive database to describe the epidemic trends and responses during the first wave of coronavirus disease 2019 (COVID-19)across main provinces in China. Methods: From mid-January to March 2020, we extracted publicly available data on the spread and control of COVID-19 from 31 provincial health authorities and major media outlets in mainland China. Based on these data, we conducted a descriptive analysis of the epidemics in the six most-affected provinces. Results: School closures, travel restrictions, community-level lockdown, and contact tracing were introduced concurrently around late January but subsequent epidemic trends were different across provinces. Compared to Hubei, the other five most-affected provinces reported a lower crude case fatality ratio and proportion of critical and severe hospitalised cases. From March 2020, as local transmission of COVID-19 declined, switching the focus of measures to testing and quarantine of inbound travellers could help to sustain the control of the epidemic. Conclusions: Aggregated indicators of case notifications and severity distributions are essential for monitoring an epidemic. A publicly available database with these indicators and information on control measures provides useful source for exploring further research and policy planning for response to the COVID-19 epidemic.

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