About: Mitigating COVID-19 outbreak via high testing capacity and strong transmission-intervention in the United States

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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	Mitigating COVID-19 outbreak via high testing capacity and strong transmission-intervention in the United States
Creator	Li, Qin Chen, Shi Gao, Song Kang, Yuhao Shi, Xun
Source	MedRxiv
abstract	Most models of the COVID-19 pandemic in the United States do not consider geographic variation, and their relevance to public policies is not straightforward. We developed a mathematical model that characterizes infections by state and incorporates inflows and outflows of interstate travelers. Modeling reveals that curbing interstate travel when the disease is already widespread will make little difference. Meanwhile, increased testing capacity (facilitating early identification of infected people and quick isolation) and strict social-distancing and self-quarantine rules are effective in abating the outbreak. The modeling has also produced state-specific information. For example, for New York and Michigan, isolation of persons exposed to the virus needs to be imposed within 2 days to prevent a broad outbreak, whereas for other states this period can be 3.6 days. This model could be used to determine resources needed before safely lifting state policies on social distancing.
has issue date	2020-04-07(xsd:dateTime)
bibo:doi	10.1101/2020.04.03.20052720
has license	medrxiv
sha1sum (hex)	df5c19f49e22ac370395c9de4b270f558cbb7e5a
schema:url	https://doi.org/10.1101/2020.04.03.20052720
resource representing a document's title	Mitigating COVID-19 outbreak via high testing capacity and strong transmission-intervention in the United States
resource representing a document's body	covid:df5c19f49e22ac370395c9de4b270f558cbb7e5a#body_text
is schema:about of	named entity 'produced' named entity 'curbing' named entity 'HIGH' named entity '3.6' named entity 'CHARACTERIZES' named entity 'TESTING' named entity 'OUTBREAK' named entity 'WIDESPREAD' named entity 'COULD BE' named entity 'PERSONS' named entity 'RESOURCES' named entity 'EFFECTIVE' named entity 'USED' covid:arg/df5c19f49e22ac370395c9de4b270f558cbb7e5a named entity 'MICHIGAN' named entity 'QUICK' named entity 'TRANSMISSION' named entity 'CAPACITY' named entity 'INTERVENTION' named entity 'DAYS' named entity 'PEOPLE' named entity 'UNITED STATES' named entity 'STRONG' named entity 'LITTLE' named entity 'CURBING' named entity 'INFECTIONS' named entity 'QUARANTINE' named entity 'UNITED STATES' named entity 'VIRUS' named entity 'CAPACITY' named entity 'INFECTED' named entity 'GEOGRAPHIC VARIATION' named entity 'THEIR' named entity 'EARLY IDENTIFICATION' named entity 'OUTBREAK' named entity 'BROAD' named entity 'ISOLATION' named entity 'PERIOD' named entity 'MODEL' named entity 'SELF' named entity 'TESTING' named entity 'EXPOSED TO' named entity 'LIFTING' named entity 'PUBLIC POLICIES' named entity 'SPECIFIC' named entity 'MODELS' named entity 'NEW YORK' named entity 'ABATING' named entity 'MODELING' named entity 'REVEALS' named entity 'TO PREVENT' named entity 'DIFFERENCE' named entity 'TRAVELERS' named entity 'DETERMINE' named entity 'SOCIAL' named entity 'NEEDED' named entity 'STATE' named entity 'POLICIES' named entity 'DISEASE' named entity 'CONSIDER' named entity 'STRAIGHTFORWARD' named entity 'STATES' named entity 'RELEVANCE' named entity 'RULES' named entity 'EXAMPLE' named entity 'MAKE' named entity 'TRAVEL' named entity 'MATHEMATICAL MODEL' named entity 'DO NOT' named entity 'COVID-19' named entity 'INCREASED' named entity 'INFORMATION' named entity 'NEEDS' named entity 'United States' named entity 'exposed' named entity 'persons' named entity 'isolation' named entity 'broad' named entity 'needed' named entity 'self-quarantine' named entity 'virus'

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