About: Using Geographic Information for Disease Surveillance at Mass Gatherings

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

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type	Academic Article research paper schema:ScholarlyArticle
isDefinedBy	Covid-on-the-Web dataset
has title	Using Geographic Information for Disease Surveillance at Mass Gatherings
topic	covid:2133a08590639966929be58d002087e65dccfd00#this
Source	PMC
abstract	Mass gatherings present the medical community with an excellent window of opportunity to study infectious diseases that can be transmitted over long distances. This is because the venue of a mass gathering usually does not change year-to-year. As a result, special attention can be given to the public health risks that are introduced by travelers from around the world into these mass gatherings. Travelers can also be infected with diseases that are endemic in the host country and transport the locally acquired infectious diseases to their home environments. Therefore, mass gatherings can be thought of as global-to-local-to-global events because of the initial convergence of global populations and the subsequent divergence of populations throughout the world. This chapter discusses three active areas of geographic research that have emerged from our understanding of disease surveillance at mass gatherings: the role of transportation and population geographies in disease surveillance; the spatial and temporal dimensions of environmental geography in the spread of disease; and the advances in GIScience that provide real-world surveillance and monitoring of disease and injuries at mass gatherings.
has issue date	2014-09-29(xsd:dateTime)
bibo:doi	10.1007/978-3-319-12003-4_3
has license	no-cc
sha1sum (hex)	2133a08590639966929be58d002087e65dccfd00
schema:url	https://doi.org/10.1007/978-3-319-12003-4_3
resource representing a document's title	Using Geographic Information for Disease Surveillance at Mass Gatherings
has PubMed Central identifier	PMC7120711
schema:publication	Health, Science, and Place
resource representing a document's body	covid:2133a08590639966929be58d002087e65dccfd00#body_text
is http://vocab.deri.ie/void#inDataset of	https://covidontheweb.inria.fr:4443/about/id/http/ns.inria.fr/covid19/2133a08590639966929be58d002087e65dccfd00
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