About: Forecasting the cumulative number of COVID-19 deaths in China: a Boltzmann function-based modeling study

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About: Forecasting the cumulative number of COVID-19 deaths in China: a Boltzmann function-based modeling study Goto Sponge NotDistinct Permalink

An Entity of Type : schema:ScholarlyArticle, within Data Space : covidontheweb.inria.fr associated with source document(s)

Attributes	Values
type	Academic Article research paper schema:ScholarlyArticle
isDefinedBy	Covid-on-the-Web dataset
has title	Forecasting the cumulative number of COVID-19 deaths in China: a Boltzmann function-based modeling study
Creator	Yao, Wei Fu, Xinmiao Long, Cheng Zhang, Zuqin Ying, Qi Gao, Yuanyuan
Source	Medline; PMC
abstract	The COVID-19 outbreak is ongoing in China. Here, Boltzmann function-based analyses reveal the potential total numbers of COVID-19 deaths: 3,260 (95% confidence interval [CI], 3187–3394) in China; 110 (95% CI, 109–112) in Hubei Province; 3,174 (95% CI, 3095–3270) outside Hubei; 2,550 (95% CI, 2494–2621) in Wuhan City; and 617 (95% CI, 607–632) outside Wuhan.
has issue date	2020-04-02(xsd:dateTime)
bibo:doi	10.1017/ice.2020.101
bibo:pmid	32238216
has license	cc-by
sha1sum (hex)	1505495991d91a5fd534af456a460775b93ce996
schema:url	https://doi.org/10.1017/ice.2020.101
resource representing a document's title	Forecasting the cumulative number of COVID-19 deaths in China: a Boltzmann function-based modeling study
has PubMed Central identifier	PMC7163192
has PubMed identifier	32238216
schema:publication	Infection control and hospital epidemiology
resource representing a document's body	covid:1505495991d91a5fd534af456a460775b93ce996#body_text
is schema:about of	named entity 'COVID-19' named entity 'Hubei' named entity 'data point' named entity 'Hubei Province' named entity 'normal distribution' named entity 'mainland China' named entity 'relative uncertainty' named entity 'relative uncertainty' named entity 'mainland China' named entity 'reported cases' named entity 'Wuhan City' named entity '95% confidence interval' named entity 'Hubei Province' named entity 'non-linear' named entity 'non-linear regression' named entity '2, 3' named entity 'Hubei' named entity 'standard deviation' named entity 'time series' named entity 'COVID-19' named entity 'standard deviation' named entity 'Monte Carlo' named entity 'time series' named entity 'normal distribution' named entity 'relative uncertainty' named entity 'Hubei' named entity 'China' named entity 'China' named entity 'COVID-19' named entity 'modeling' named entity 'Number' named entity 'China' named entity 'Deaths' named entity 'Cumulative' named entity 'Forecasting'
is part of of	The COVID-19 outbreak is ongoing in China. Here, Boltzmann function-based analyses reveal the potential total numbers of COVID-19 deaths: 3,260 (95% confidence interval [CI], 3187–3394) in China; 110 (95% CI, 109–112) in Hubei Province; 3,174 (95% CI, 3095–3270) outside Hubei; 2,550 (95% CI, 2494–2621) in Wuhan City; and 617 (95% CI, 607–632) outside Wuhan. Forecasting the cumulative number of COVID-19 deaths in China: a Boltzmann function-based modeling study covid:1505495991d91a5fd534af456a460775b93ce996#body_text

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