About: Detecting a trend change in cross-border epidemic transmission

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

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type	Academic Article research paper schema:ScholarlyArticle
isDefinedBy	Covid-on-the-Web dataset
title	Detecting a trend change in cross-border epidemic transmission
Creator	Maeno, Yoshiharu
source	ArXiv
abstract	A method for detecting a trend change in cross-border epidemic transmission is developed for a standard epidemiological SIR compartment model and a meta-population network model. The method is applicable to investigating the efficacy of the implemented public health intervention in managing infectious travelers across borders from a time series of the number of new cases reported in multiple geographical regions. It is found that the change point of the probability of travel movements was one week after the WHO worldwide alert on the SARS outbreak in 2003. The alert was effective in managing infectious travelers. On the other hand, it is found that the probability of travel movements did not change at all for the flu pandemic in 2009. The pandemic did not affect potential travelers despite the WHO alert.
has issue date	2013-07-18(xsd:dateTime)
has license	arxiv
sha1sum (hex)	4721fa917fad37326b786ba1d493f97acb3d34be
resource representing a document's title	Detecting a trend change in cross-border epidemic transmission
resource representing a document's body	covid:4721fa917fad37326b786ba1d493f97acb3d34be#body_text
is schema:about of	named entity 'travels' named entity 'public health intervention' named entity 'School' named entity 'network model' named entity 'alert' »more»

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