About: CIRD-F: Spread and Influence of COVID-19 in China

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About: CIRD-F: Spread and Influence of COVID-19 in China 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
title	CIRD-F: Spread and Influence of COVID-19 in China
Creator	Gao, Yuanning Kaiwei, W Lingyun, Zhou Liu, Hanzhi Xiaofeng, Gao
source	Medline; PMC; WHO
abstract	The outbreak of coronavirus disease 2019 (COVID-19) has been spreading rapidly in China and the Chinese government took a series of policies to control the epidemic. Therefore, it will be helpful to predict the tendency of the epidemic and analyze the influence of official policies. Existing models for prediction, such as cabin models and individual-based models, are either oversimplified or too meticulous, and the influence of the epidemic was studied much more than that of official policies. To predict the epidemic tendency, we consider four groups of people, and establish a propagation dynamics model. We also create a negative feedback to quantify the public vigilance to the epidemic. We evaluate the tendency of epidemic in Hubei and China except Hubei separately to predict the situation of the whole country. Experiments show that the epidemic will terminate around 17 March 2020 and the final number of cumulative infections will be about 78 191 (prediction interval, 74 872 to 82 474). By changing the parameters of the model accordingly, we demonstrate the control effect of the policies of the government on the epidemic situation, which can reduce about 68% possible infections. At the same time, we use the capital asset pricing model with dummy variable to evaluate the effects of the epidemic and official policies on the revenue of multiple industries.
has issue date	2020-04-07(xsd:dateTime)
bibo:doi	10.1007/s12204-020-2168-1
bibo:pmid	32288416
has license	no-cc
sha1sum (hex)	9b9019dad669bbcc63a938fb187d1d520a8b857a
schema:url	https://doi.org/10.1007/s12204-020-2168-1
resource representing a document's title	CIRD-F: Spread and Influence of COVID-19 in China
has PubMed Central identifier	PMC7137851
has PubMed identifier	32288416
schema:publication	J Shanghai Jiaotong Univ Sci
resource representing a document's body	covid:9b9019dad669bbcc63a938fb187d1d520a8b857a#body_text
is schema:about of	named entity 'groups' named entity 'Therefore' named entity 'models' named entity 'predict' named entity 'COVID-19' named entity 'REVENUE' named entity 'REDUCE' named entity 'CONTROL EFFECT' named entity 'CHINA' named entity 'PREDICTION' named entity 'SPREADING' named entity 'CREATE' named entity 'ASSET' named entity 'MULTIPLE' named entity 'MARCH' named entity 'PEOPLE' named entity 'USE' named entity 'PREDICT' named entity 'VIGILANCE' named entity 'PARAMETERS OF THE MODEL' named entity 'MORE THAN' named entity 'EVALUATE' named entity 'SITUATION' named entity 'CAPITAL' named entity 'DYNAMICS MODEL' named entity 'TOO' named entity 'MODELS' named entity 'CORONAVIRUS DISEASE 2019' named entity 'ABOUT' named entity 'EITHER' named entity 'SPREAD' named entity 'INFLUENCE' named entity 'COUNTRY' named entity 'DUMMY VARIABLE' named entity 'EXCEPT' named entity 'EPIDEMIC' named entity 'BASED' named entity 'CONSIDER' named entity 'FINAL' named entity 'RAPIDLY' named entity 'PRICING' named entity 'INFLUENCE' named entity 'EFFECTS' named entity 'EXPERIMENTS' named entity 'POLICIES' named entity 'CHINA' named entity '474' named entity 'GROUPS' named entity 'POSSIBLE' named entity 'MUCH' named entity '191' named entity 'OFFICIAL' named entity 'OUTBREAK' named entity 'TENDENCY' named entity 'TERMINATE' named entity 'ESTABLISH' named entity 'NUMBER OF' named entity 'NEGATIVE FEEDBACK' named entity 'INTERVAL' named entity 'INDUSTRIES' named entity 'CHINESE' named entity 'INDIVIDUAL' named entity 'GOVERNMENT' named entity 'TO CONTROL' named entity 'CHANGING' named entity 'PUBLIC' named entity 'CUMULATIVE' named entity 'HELPFUL' named entity 'SERIES' named entity 'TIME' named entity 'MODEL' named entity 'INFECTIONS' named entity 'QUANTIFY' named entity 'PROPAGATION' covid:arg/9b9019dad669bbcc63a938fb187d1d520a8b857a named entity 'evaluate' named entity 'separately'

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