Database of epidemic trends and control measures during the first wave of COVID-19 in mainland China
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Objectives: In this data collation study, we aimed to provide a comprehensive database describing the epidemic trends and responses during the first wave of coronavirus disease 2019 (COVID-19) throughout the main provinces in China. Methods: From mid-January to March 2020, we extracted publicly available data regarding 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 descriptive analyses of the epidemic 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 differed among provinces. Compared with 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 the local transmission of COVID-19 declined, switching the focus of measures to the testing and quarantine of inbound travellers may have helped 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 containing these indicators and information regarding control measures is a useful resource for further research and policy planning in response to the COVID-19 epidemic.
Original language | English |
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Journal | International Journal of Infectious Diseases |
Volume | 102 |
Pages (from-to) | 463-471 |
Number of pages | 9 |
ISSN | 1201-9712 |
DOIs | |
Publication status | Published - 2021 |
Externally published | Yes |
Bibliographical note
Publisher Copyright:
© 2020 The Author(s)
- Case fatality ratio, China, Contact, Control measure, COVID-19, Epidemic
Research areas
ID: 290663494