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

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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.

In: International Journal of Infectious Diseases, Vol. 102, 2021, p. 463-471.

Research output: Contribution to journal › Journal article › Research › peer-review

Harvard

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, Cattarino, L, Charles, G, Coupland, H, Cucunuba, ZM, Cuomo-Dannenburg, G, Donnelly, CA, Dorigatti, I, Eales, OD, FitzJohn, RG, Flaxman, S, Gaythorpe, KAM, Ghani, AC, Green, WD, Hamlet, A, Hauck, K, Haw, DJ, Jeffrey, B, Laydon, DJ, Lees, JA, Mellan, T, Mishra, S, Nedjati-Gilani, G, Nouvellet, P, Okell, L, Parag, KV, Ragonnet-Cronin, M, Riley, S, Schmit, N, Thompson, HA, Unwin, HJT, Verity, R, Vollmer, MAC, Volz, E, Walker, PGT, Walters, CE, Watson, OJ, Whittaker, C, Whittles, LK, Imai, N, Bhatia, S & Ferguson, NM 2021, 'Database of epidemic trends and control measures during the first wave of COVID-19 in mainland China', International Journal of Infectious Diseases, vol. 102, pp. 463-471. https://doi.org/10.1016/j.ijid.2020.10.075

APA

Fu, H., Wang, H., Xi, X., Boonyasiri, A., Wang, Y., Hinsley, W., Fraser, K. J., McCabe, R., Olivera Mesa, D., Skarp, J., Ledda, A., Dewé, T., Dighe, A., Winskill, P., van Elsland, S. L., Ainslie, K. E. C., Baguelin, M., Bhatt, S., Boyd, O., ... Ferguson, N. M. (2021). Database of epidemic trends and control measures during the first wave of COVID-19 in mainland China. International Journal of Infectious Diseases, 102, 463-471. https://doi.org/10.1016/j.ijid.2020.10.075

Vancouver

Fu H, Wang H, Xi X, Boonyasiri A, Wang Y, Hinsley W et al. Database of epidemic trends and control measures during the first wave of COVID-19 in mainland China. International Journal of Infectious Diseases. 2021;102:463-471. https://doi.org/10.1016/j.ijid.2020.10.075

Author

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. / Database of epidemic trends and control measures during the first wave of COVID-19 in mainland China. In: International Journal of Infectious Diseases. 2021 ; Vol. 102. pp. 463-471.

Bibtex

@article{118e9191e0cb4486a487c453423e56c6,

title = "Database of epidemic trends and control measures during the first wave of COVID-19 in mainland China",

abstract = "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.",

keywords = "Case fatality ratio, China, Contact, Control measure, COVID-19, Epidemic",

author = "Han Fu and Haowei Wang and Xiaoyue Xi and Adhiratha Boonyasiri and Yuanrong Wang and Wes Hinsley and Fraser, {Keith J.} and Ruth McCabe and {Olivera Mesa}, Daniela and Janetta Skarp and Alice Ledda and Tamsin Dew{\'e} and Amy Dighe and Peter Winskill and {van Elsland}, {Sabine L.} and Ainslie, {Kylie E.C.} and Marc Baguelin and Samir Bhatt and Olivia Boyd and Brazeau, {Nicholas F.} and Lorenzo Cattarino and Giovanni Charles and Helen Coupland and Cucunuba, {Zulma M.} and Gina Cuomo-Dannenburg and Donnelly, {Christl A.} and Ilaria Dorigatti and Eales, {Oliver D.} and FitzJohn, {Richard G.} and Seth Flaxman and Gaythorpe, {Katy A.M.} and Ghani, {Azra C.} and Green, {William D.} and Arran Hamlet and Katharina Hauck and Haw, {David J.} and Benjamin Jeffrey and Laydon, {Daniel J.} and Lees, {John A.} and Thomas Mellan and Swapnil Mishra and Gemma Nedjati-Gilani and Pierre Nouvellet and Lucy Okell and Parag, {Kris V.} and Manon Ragonnet-Cronin and Steven Riley and Nora Schmit and Thompson, {Hayley A.} and Unwin, {H. Juliette T.} and Robert Verity and Vollmer, {Michaela A.C.} and Erik Volz and Walker, {Patrick G.T.} and Walters, {Caroline E.} and Watson, {Oliver J.} and Charles Whittaker and Whittles, {Lilith K.} and Natsuko Imai and Sangeeta Bhatia and Ferguson, {Neil M.}",

note = "Publisher Copyright: {\textcopyright} 2020 The Author(s)",

year = "2021",

doi = "10.1016/j.ijid.2020.10.075",

language = "English",

volume = "102",

pages = "463--471",

journal = "International Journal of Infectious Diseases",

issn = "1201-9712",

publisher = "Elsevier",

}

RIS

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.

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

Department of Public Health