Linked Life Data

15938517

Source:http://linkedlifedata.com/resource/pubmed/id/15938517

Statements in which the resource exists as a subject.
PredicateObject
rdf:type
lifeskim:mentions
pubmed:dateCreated
2005-6-7
pubmed:abstractText
Geographic information systems (GIS), their fundamental components and technologies are described. GIS is a computer-based system enabling the storage, integration, query, display and analysis of data using information on data location. Further, remote sensing (RS) methods and their application in landscape characterization are described. Landscape pattern analysis, combined with statistical analysis, allows the determination of landscape predictors of disease risk. This makes RS/GIS a powerful set of tools for disease surveillance, enabling the prediction of potential disease outbreaks and targeting intervention programs. The 'pre-GIS era' is briefly described including the early mapping of tick distribution, analyses and the display of biogeographical and medical data. The theory of natural focality of diseases (NFD) is explained and its significance in tick-borne diseases (TBD) research is discussed. Many problems of tick ecology and TBD epidemiology and epizootology have been addressed by means of GIS and examples of these studies are presented and discussed.
pubmed:language
eng
pubmed:journal
pubmed:citationSubset
IM
pubmed:status
MEDLINE
pubmed:issn
0031-1820
pubmed:author
pubmed:issnType
Print
pubmed:volume
129 Suppl
pubmed:owner
NLM
pubmed:authorsComplete
Y
pubmed:pagination
S329-52
pubmed:meshHeading
pubmed:year
2004
pubmed:articleTitle
GIS tools for tick and tick-borne disease occurrence.
pubmed:affiliation
School of Public Health, Institute of Postgraduate Medical Education, Prague, Czech Republic. daniel@ipvz.cz
pubmed:publicationType
Journal Article, Review