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Int J Infect Dis . A database for the epidemic trends and control measures during the first wave of COVID-19 in mainland China

tetano

Editor, Senior Moderator
Int J Infect Dis


. 2020 Oct 29;S1201-9712(20)32279-7.
doi: 10.1016/j.ijid.2020.10.075. Online ahead of print.
A database for the epidemic trends and control measures during the first wave of COVID-19 in mainland China


Han Fu[SUP] 1 [/SUP], Haowei Wang[SUP] 1 [/SUP], Xiaoyue Xi[SUP] 2 [/SUP], Adhiratha Boonyasiri[SUP] 3 [/SUP], Yuanrong Wang[SUP] 4 [/SUP], Wes Hinsley[SUP] 4 [/SUP], Keith J Fraser[SUP] 4 [/SUP], Ruth McCabe[SUP] 4 [/SUP], Daniela Olivera Mesa[SUP] 4 [/SUP], Janetta Skarp[SUP] 4 [/SUP], Alice Ledda[SUP] 4 [/SUP], Tamsin Dew?[SUP] 4 [/SUP], Amy Dighe[SUP] 4 [/SUP], Peter Winskill[SUP] 4 [/SUP], Sabine L van Elsland[SUP] 4 [/SUP], Kylie E C Ainslie[SUP] 4 [/SUP], Marc Baguelin[SUP] 4 [/SUP], Samir Bhatt[SUP] 4 [/SUP], Olivia Boyd[SUP] 4 [/SUP], Nicholas F Brazeau[SUP] 4 [/SUP], Lorenzo Cattarino[SUP] 4 [/SUP], Giovanni Charles[SUP] 4 [/SUP], Helen Coupland[SUP] 4 [/SUP], Zulma M Cucunuba[SUP] 4 [/SUP], Gina Cuomo-Dannenburg[SUP] 4 [/SUP], Christl A Donnelly[SUP] 5 [/SUP], Ilaria Dorigatti[SUP] 4 [/SUP], Oliver D Eales[SUP] 4 [/SUP], Richard G FitzJohn[SUP] 4 [/SUP], Seth Flaxman[SUP] 6 [/SUP], Katy A M Gaythorpe[SUP] 4 [/SUP], Azra C Ghani[SUP] 4 [/SUP], William D Green[SUP] 4 [/SUP], Arran Hamlet[SUP] 4 [/SUP], Katharina Hauck[SUP] 4 [/SUP], David J Haw[SUP] 4 [/SUP], Benjamin Jeffrey[SUP] 4 [/SUP], Daniel J Laydon[SUP] 4 [/SUP], John A Lees[SUP] 4 [/SUP], Thomas Mellan[SUP] 4 [/SUP], Swapnil Mishra[SUP] 4 [/SUP], Gemma Nedjati-Gilani[SUP] 4 [/SUP], Pierre Nouvellet[SUP] 7 [/SUP], Lucy Okell[SUP] 4 [/SUP], Kris V Parag[SUP] 4 [/SUP], Manon Ragonnet-Cronin[SUP] 4 [/SUP], Steven Riley[SUP] 4 [/SUP], Nora Schmit[SUP] 4 [/SUP], Hayley A Thompson[SUP] 4 [/SUP], H Juliette T Unwin[SUP] 4 [/SUP], Robert Verity[SUP] 4 [/SUP], Michaela A C Vollmer[SUP] 4 [/SUP], Erik Volz[SUP] 4 [/SUP], Patrick G T Walker[SUP] 4 [/SUP], Caroline E Walters[SUP] 4 [/SUP], Oliver J Watson[SUP] 4 [/SUP], Charles Whittaker[SUP] 4 [/SUP], Lilith K Whittles[SUP] 4 [/SUP], Natsuko Imai[SUP] 4 [/SUP], Sangeeta Bhatia[SUP] 4 [/SUP], Neil M Ferguson[SUP] 4 [/SUP]



Affiliations

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 a useful source for exploring further research and policy planning for response to the COVID-19 epidemic.

Keywords: COVID-19; China; case fatality ratio; contact; control measure; epidemic.
 
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