About: Mobility trends provide a leading indicator of changes in SARS-CoV-2 transmission

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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	Mobility trends provide a leading indicator of changes in SARS-CoV-2 transmission
Creator	Jewell, Nicholas Miller, Andrew Lewnard, Joseph Foti, Nicholas Fox, Emily Guestrin, Carlos
Source	MedRxiv
abstract	Determining the impact of non-pharmaceutical interventions on transmission of the novel severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) is paramount for the design and deployment of effective public health policies. Incorporating Apple Maps mobility data into an epidemiological model of daily deaths and hospitalizations allowed us to estimate an explicit relationship between human mobility and transmission in the United States. We find that reduced mobility explains a large decrease in the effective reproductive number attained by April 1st and further identify state-to-state variation in the inferred transmission-mobility relationship. These findings indicate that simply relaxing stay-at-home orders can rapidly lead to outbreaks exceeding the scale of transmission that has occurred to date. Our findings provide quantitative guidance on the impact policies must achieve against transmission to safely relax social distancing measures.
has issue date	2020-05-11(xsd:dateTime)
bibo:doi	10.1101/2020.05.07.20094441
has license	medrxiv
sha1sum (hex)	335973fe964508abe0409b2d466729f4f882616f
schema:url	https://doi.org/10.1101/2020.05.07.20094441
resource representing a document's title	Mobility trends provide a leading indicator of changes in SARS-CoV-2 transmission
resource representing a document's body	covid:335973fe964508abe0409b2d466729f4f882616f#body_text
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