About: Pandemic Spread—an Empirical Analysis

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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	Pandemic Spread—an Empirical Analysis
Creator	Caspi, Oren Neuberger, Ami Ziegler, Zvi
topic	covid:777851bf3f2dc2f5466bdadfb536c674f862b0c8#this
Source	Medline; PMC
abstract	The coronavirus disease-2019 (COVID-19) epidemic started in late 2019, and was upgraded to a pandemic on March 11, 2020 by the World Health Organization (WHO). Well established epidemiological models have been used over the last few months in an attempt to predict how the virus would spread. The predictions were frightening, and the resulting panic caused many governments to impose lockdowns or other severe restrictions, with lasting effects. This short paper discusses another way of looking at the spread of COVID-19, by focusing on the daily rate of infection, defined as the daily rate of increase in the number of infected persons. It is shown that the daily rate is monotonically decreasing, after a short initial period, in all countries, and that the pattern is similar in all countries. This appears to be a universal phenomenon. Based on these calculations, the April 1, 2020 data for Western Europe were sufficient to predict the beginning of the end of COVID-19 in that region before the end of that month.
has issue date	2020-07-31(xsd:dateTime)
bibo:doi	10.5041/rmmj.10410
bibo:pmid	32667284
has license	cc-by
sha1sum (hex)	777851bf3f2dc2f5466bdadfb536c674f862b0c8
schema:url	https://doi.org/10.5041/rmmj.10410
resource representing a document's title	Pandemic Spread—an Empirical Analysis
has PubMed Central identifier	PMC7426549
has PubMed identifier	32667284
schema:publication	Rambam Maimonides Med J
resource representing a document's body	covid:777851bf3f2dc2f5466bdadfb536c674f862b0c8#body_text
is http://vocab.deri.ie/void#inDataset of	proxy:http/ns.inria.fr/covid19/777851bf3f2dc2f5466bdadfb536c674f862b0c8
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