Database of epidemic trends and control measures during the first wave of COVID-19 in mainland China
Publikation: Bidrag til tidsskrift › Tidsskriftartikel › Forskning › fagfællebedømt
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Database of epidemic trends and control measures during the first wave of COVID-19 in mainland China. / Fu, Han; Wang, Haowei; Xi, Xiaoyue; Boonyasiri, Adhiratha; Wang, Yuanrong; Hinsley, Wes; Fraser, Keith J.; McCabe, Ruth; Olivera Mesa, Daniela; Skarp, Janetta; Ledda, Alice; Dewé, Tamsin; Dighe, Amy; Winskill, Peter; van Elsland, Sabine L.; Ainslie, Kylie E.C.; Baguelin, Marc; Bhatt, Samir; Boyd, Olivia; Brazeau, Nicholas F.; Cattarino, Lorenzo; Charles, Giovanni; Coupland, Helen; Cucunuba, Zulma M.; Cuomo-Dannenburg, Gina; Donnelly, Christl A.; Dorigatti, Ilaria; Eales, Oliver D.; FitzJohn, Richard G.; Flaxman, Seth; Gaythorpe, Katy A.M.; Ghani, Azra C.; Green, William D.; Hamlet, Arran; Hauck, Katharina; Haw, David J.; Jeffrey, Benjamin; Laydon, Daniel J.; Lees, John A.; Mellan, Thomas; Mishra, Swapnil; Nedjati-Gilani, Gemma; Nouvellet, Pierre; Okell, Lucy; Parag, Kris V.; Ragonnet-Cronin, Manon; Riley, Steven; Schmit, Nora; Thompson, Hayley A.; Unwin, H. Juliette T.; Verity, Robert; Vollmer, Michaela A.C.; Volz, Erik; Walker, Patrick G.T.; Walters, Caroline E.; Watson, Oliver J.; Whittaker, Charles; Whittles, Lilith K.; Imai, Natsuko; Bhatia, Sangeeta; Ferguson, Neil M.
I: International Journal of Infectious Diseases, Bind 102, 2021, s. 463-471.Publikation: Bidrag til tidsskrift › Tidsskriftartikel › Forskning › fagfællebedømt
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TY - JOUR
T1 - Database of epidemic trends and control measures during the first wave of COVID-19 in mainland China
AU - Fu, Han
AU - Wang, Haowei
AU - Xi, Xiaoyue
AU - Boonyasiri, Adhiratha
AU - Wang, Yuanrong
AU - Hinsley, Wes
AU - Fraser, Keith J.
AU - McCabe, Ruth
AU - Olivera Mesa, Daniela
AU - Skarp, Janetta
AU - Ledda, Alice
AU - Dewé, Tamsin
AU - Dighe, Amy
AU - Winskill, Peter
AU - van Elsland, Sabine L.
AU - Ainslie, Kylie E.C.
AU - Baguelin, Marc
AU - Bhatt, Samir
AU - Boyd, Olivia
AU - Brazeau, Nicholas F.
AU - Cattarino, Lorenzo
AU - Charles, Giovanni
AU - Coupland, Helen
AU - Cucunuba, Zulma M.
AU - Cuomo-Dannenburg, Gina
AU - Donnelly, Christl A.
AU - Dorigatti, Ilaria
AU - Eales, Oliver D.
AU - FitzJohn, Richard G.
AU - Flaxman, Seth
AU - Gaythorpe, Katy A.M.
AU - Ghani, Azra C.
AU - Green, William D.
AU - Hamlet, Arran
AU - Hauck, Katharina
AU - Haw, David J.
AU - Jeffrey, Benjamin
AU - Laydon, Daniel J.
AU - Lees, John A.
AU - Mellan, Thomas
AU - Mishra, Swapnil
AU - Nedjati-Gilani, Gemma
AU - Nouvellet, Pierre
AU - Okell, Lucy
AU - Parag, Kris V.
AU - Ragonnet-Cronin, Manon
AU - Riley, Steven
AU - Schmit, Nora
AU - Thompson, Hayley A.
AU - Unwin, H. Juliette T.
AU - Verity, Robert
AU - Vollmer, Michaela A.C.
AU - Volz, Erik
AU - Walker, Patrick G.T.
AU - Walters, Caroline E.
AU - Watson, Oliver J.
AU - Whittaker, Charles
AU - Whittles, Lilith K.
AU - Imai, Natsuko
AU - Bhatia, Sangeeta
AU - Ferguson, Neil M.
N1 - Publisher Copyright: © 2020 The Author(s)
PY - 2021
Y1 - 2021
N2 - 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.
AB - 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.
KW - Case fatality ratio
KW - China
KW - Contact
KW - Control measure
KW - COVID-19
KW - Epidemic
U2 - 10.1016/j.ijid.2020.10.075
DO - 10.1016/j.ijid.2020.10.075
M3 - Journal article
C2 - 33130212
AN - SCOPUS:85097802239
VL - 102
SP - 463
EP - 471
JO - International Journal of Infectious Diseases
JF - International Journal of Infectious Diseases
SN - 1201-9712
ER -
ID: 290663494