About: State-by-State prediction of likely COVID-19 scenarios in the United States and assessment of the role of testing and control measures

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About: State-by-State prediction of likely COVID-19 scenarios in the United States and assessment of the role of testing and control measures Goto Sponge NotDistinct Permalink

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

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type	Academic Article research paper schema:ScholarlyArticle
isDefinedBy	Covid-on-the-Web dataset
title	State-by-State prediction of likely COVID-19 scenarios in the United States and assessment of the role of testing and control measures
Creator	Liu, Zonghua Tang, Ming Lai, Ying-Cheng Han, Li-Lei Kang, Jie »more»
source	MedRxiv
abstract	Due to the heterogeneity among the States in the US, predicting COVID-19 trends and quantitatively assessing the effects of government testing capability and control measures need to be done via a State-by-State approach. We develop a comprehensive model for COVID-19 incorporating time delays and population movements. With key parameter values determined by empirical data, the model enables the most likely epidemic scenarios to be predicted for each State, which are indicative of whether testing services and control measures are vigorous enough to contain the disease. We find that government control measures play a more important role than testing in suppressing the epidemic. The vast disparities in the epidemic trends among the States imply the need for long-term placement of control measures to fully contain COVID-19.
has issue date	2020-04-29(xsd:dateTime)
bibo:doi	10.1101/2020.04.24.20078774
has license	medrxiv
sha1sum (hex)	4ca005a460e7c8749e22be23cfb4b480e4314adb
schema:url	https://doi.org/10.1101/2020.04.24.20078774
resource representing a document's title	State-by-State prediction of likely COVID-19 scenarios in the United States and assessment of the role of testing and control measures
resource representing a document's body	covid:4ca005a460e7c8749e22be23cfb4b480e4314adb#body_text
is schema:about of	named entity 'heterogeneity' named entity 'population movements' named entity 'COVID-19' named entity 'COVID-19' named entity 'control measures' »more»

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