About: Geometric characterization of SARS-CoV-2 pandemic events

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About: Geometric characterization of SARS-CoV-2 pandemic events Goto Sponge NotDistinct Permalink

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	Geometric characterization of SARS-CoV-2 pandemic events
Creator	Gross, Bnaya Havlin, Shlomo Bonamassa, Ivan Chan, Adrian Gotesdyner, Ouriel Leo, Mario Strinati, Marcello
Source	ArXiv
abstract	While the SARS-CoV-2 keeps spreading world-wide, comparing its evolution across different nations is a timely challenge of both theoretical and practical importance. The large variety of dissimilar and country-dependent epidemiological factors, in fact, makes extremely difficult to understand their influence on the epidemic trends within a unique and coherent framework. We present a geometric framework to characterize, in an integrated and low-dimensional fashion, the epidemic plume-like trajectories traced by the infection rate, $I$, and the fatality rate, $D$, in the $(I,D)$ plane. Our analysis enables the definition of an epidemiometric system based on three geometric observables rating the SARS-CoV-2 pandemic events via scales analogous to those for the magnitude and the intensity of seismic events. Being exquisitely geometric, our framework can be applied to classify other epidemic data and secondary waves, raising the possibility of designing epidemic alerts or early warning systems to enhance public and governmental responses to a rapidly emerging outbreak.
has issue date	2020-07-20(xsd:dateTime)
has license	arxiv
sha1sum (hex)	76c421a2dc084a42c0efcbe87ff54688ec8a1833
resource representing a document's title	Geometric characterization of SARS-CoV-2 pandemic events
resource representing a document's body	covid:76c421a2dc084a42c0efcbe87ff54688ec8a1833#body_text
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