About: COVID-19 in the United States: Trajectories and second surge behavior

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

Attributes	Values
type	Academic Article research paper schema:ScholarlyArticle
isDefinedBy	Covid-on-the-Web dataset
has title	COVID-19 in the United States: Trajectories and second surge behavior
Creator	James, Nick Menzies, Max
Source	ArXiv
abstract	This paper introduces a mathematical framework for determining second surge behavior of COVID-19 cases in the United States. Within this framework, a flexible algorithmic approach selects a set of turning points for each state, computes distances between them, and determines whether each state is in (or over) a first or second surge. Then, appropriate distances between normalized time series are used to further analyze the relationships between case trajectories on a month-by-month basis. Our algorithm shows that 31 states are experiencing second surges, while 4 of the 10 largest states are still in their first surge, with case counts that have never decreased. This analysis can aid in highlighting the most and least successful state responses to COVID-19.
has issue date	2020-08-05(xsd:dateTime)
has license	arxiv
sha1sum (hex)	787a42013f9c448e4e24f293f225d900a0ffc24d
resource representing a document's title	COVID-19 in the United States: Trajectories and second surge behavior
resource representing a document's body	covid:787a42013f9c448e4e24f293f225d900a0ffc24d#body_text
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