abxiq079

Property	Value
?: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.
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?:creator	<https://research.tib.eu/covid-19/entity/Fu%2C_Han%3B_Wang%2C_Haowei%3B_Xi%2C_Xiaoyue%3B_Boonyasiri%2C_Adhiratha%3B_Wang%2C_Yuanrong%3B_Hinsley%2C_Wes%3B_Fraser%2C_Keith_J.%3B_McCabe%2C_Ruth%3B_Mesa%2C_Daniela_Olivera%3B_Skarp%2C_Janetta%3B_Ledda%2C_Alice%3B_Dew%C3%A9%2C_Tamsin%3B_Dighe%2C_Amy%3B_Winskill%2C_Peter%3B_van_Elsland%2C_Sabine_L.%3B_Ainslie%2C_Kylie_E.C.%3B_Baguelin%2C_Marc%3B_Bhatt%2C_Samir%3B_Boyd%2C_Olivia%3B_Brazeau%2C_Nicholas_F.%3B_Cattarino%2C_Lorenzo%3B_Charles%2C_Giovanni%3B_Coupland%2C_Helen%3B_Cucunuba%2C_Zulma_M.%3B_Cuomo-Dannenburg%2C_Gina%3B_Donnelly%2C_Christl_A.%3B_Dorigatti%2C_Ilaria%3B_Eales%2C_Oliver_D.%3B_FitzJohn%2C_Richard_G.%3B_Flaxman%2C_Seth%3B_Gaythorpe%2C_Katy_A.M.%3B_Ghani%2C_Azra_C.%3B_Green%2C_William_D.%3B_Hamlet%2C_Arran%3B_Hauck%2C_Katharina%3B_Haw%2C_David_J.%3B_Jeffrey%2C_Benjamin%3B_Laydon%2C_Daniel_J.%3B_Lees%2C_John_A.%3B_Mellan%2C_Thomas%3B_Mishra%2C_Swapnil%3B_Nedjati-Gilani%2C_Gemma%3B_Nouvellet%2C_Pierre%3B_Okell%2C_Lucy%3B_Parag%2C_Kris_V.%3B_Ragonnet-Cronin%2C_Manon%3B_Riley%2C_Steven%3B_Schmit%2C_Nora%3B_Thompson%2C_Hayley_A.%3B_Unwin%2C_H._Juliette_T.%3B_Verity%2C_Robert%3B_Vollmer%2C_Michaela_A.C.%3B_Volz%2C_Erik%3B_Walker%2C_Patrick_G.T.%3B_Walters%2C_Caroline_E.%3B_Watson%2C_Oliver_J.%3B_Whittaker%2C_Charles%3B_Whittles%2C_Lilith_K.%3B_Imai%2C_Natsuko%3B_Bhatia%2C_Sangeeta%3B_Ferguson%2C_Neil_M.>
?:doi	10.1016/j.ijid.2020.10.075
?:doi	<https://research.tib.eu/covid-19/entity/10.1016/j.ijid.2020.10.075>
?:journal	Int_J_Infect_Dis
?:license	els-covid
?:pdf_json_files	document_parses/pdf_json/510887b88a8169cba8a5b97db64a634f4f27edb1.json
?:pmcid	<https://research.tib.eu/covid-19/entity/PMC7603985>
?:pmid	<https://research.tib.eu/covid-19/entity/33130212.0>
?:pmid	33130212.0
?:publication_isRelatedTo_Disease	<https://research.tib.eu/covid-19/entity/COVID-19>
?:sha_id	<https://research.tib.eu/covid-19/entity/510887b88a8169cba8a5b97db64a634f4f27edb1>
?:source	Elsevier; Medline; PMC
?:title	A database for the epidemic trends and control measures during the first wave of COVID-19 in mainland China
?:type	<https://research.tib.eu/covid-19/vocab/Publication>
?:year	2020-10-31

Property

Value

?: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.

is ?:annotates of