About: Spread of COVID-19 through Georgia, USA. Near-term projections and impacts of social distancing via a metapopulation model

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About: Spread of COVID-19 through Georgia, USA. Near-term projections and impacts of social distancing via a metapopulation model 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	Spread of COVID-19 through Georgia, USA. Near-term projections and impacts of social distancing via a metapopulation model
Creator	Weitz, Joshua Beckett, Stephen Dominguez-Mirazo, Marian Andris, Clio Lee, Seolha
Source	MedRxiv; Medline
abstract	Epidemiological forecasts of COVID-19 spread at the country and/or state level have helped shape public health interventions. However, such models leave a scale-gap between the spatial resolution of actionable information (i.e. the county or city level) and that of modeled viral spread. States and nations are not spatially homogeneous and different areas may vary in disease risk and severity. For example, COVID-19 has age-stratified risk. Similarly, ICU units, PPE and other vital equipment are not equally distributed within states. Here, we implement a county-level epidemiological framework to assess and forecast COVID-19 spread through Georgia, where 1,933 people have died from COVID-19 and 44,638 cases have been documented as of May 27, 2020. We find that county-level forecasts trained on heterogeneity due to clustered events can continue to predict epidemic spread over multi-week periods, potentially serving efforts to prepare medical resources, manage supply chains, and develop targeted public health interventions. We find that the premature removal of physical (social) distancing could lead to rapid increases in cases or the emergence of sustained plateaus of elevated fatalities.
has issue date	2020-05-30(xsd:dateTime)
bibo:doi	10.1101/2020.05.28.20115642
bibo:pmid	32511490
has license	medrxiv
sha1sum (hex)	2fe8c4247afea297eb4581229971076dcfd90dc6
schema:url	https://doi.org/10.1101/2020.05.28.20115642
resource representing a document's title	Spread of COVID-19 through Georgia, USA. Near-term projections and impacts of social distancing via a metapopulation model
has PubMed identifier	32511490
schema:publication	medRxiv : the preprint server for health sciences
resource representing a document's body	covid:2fe8c4247afea297eb4581229971076dcfd90dc6#body_text
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