Using geovisual analytics in Google Earth to understand disease distribution: a case study of campylobacteriosis in the Czech Republic (2008-2012).

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Using geovisual analytics in Google Earth to understand disease distribution: a case study of campylobacteriosis in the Czech Republic (2008-2012). is …
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scholarly articleQ13442814

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P6179Dimensions Publication ID1033160019
P356DOI10.1186/1476-072X-14-7
P932PMC publication ID4328415
P698PubMed publication ID25628063
P5875ResearchGate publication ID271137957

P50authorVít PásztoQ59601072
Lukáš MarekQ86612560
P2093author name stringPavel Tuček
P2860cites workSpatial analysis of campylobacter infection in the Canadian province of ManitobaQ25255495
Use of Mapping and Spatial and Space-Time Modeling Approaches in Operational Control of Aedes aegypti and DengueQ27488311
Use of Google Earth to strengthen public health capacity and facilitate management of vector-borne diseases in resource-poor environmentsQ28656310
Web GIS in practice IX: a demonstration of geospatial visual analytics using Microsoft Live Labs Pivot technology and WHO mortality dataQ28741524
Improving imperfect data from health management information systems in Africa using space-time geostatisticsQ28768706
Geographically masking health data to preserve confidentiality.Q30573361
Geovisual analytics to enhance spatial scan statistic interpretation: an analysis of U.S. cervical cancer mortalityQ30851580
Environmental and demographic risk factors for campylobacteriosis: do various geographical scales tell the same story?Q34486097
Identification of contrastive and comparable school neighborhoods for childhood obesity and physical activity researchQ34898614
Tracking the polio virus down the Congo River: a case study on the use of Google Earth in public health planning and mappingQ37103810
A local space-time kriging approach applied to a national outpatient malaria dataset.Q37180935
The spatial and temporal determinants of campylobacteriosis notifications in New Zealand, 2001-2007.Q40005606
Retrospective space-time cluster analysis of whooping cough, re-emergence in Barcelona, Spain, 2000-2011.Q42212444
Bayesian outbreak detection algorithm for monitoring reported cases of campylobacteriosis in Germany.Q42266629
New tools for epidemiology: a space odysseyQ50157878
Detection of high risk campylobacteriosis clusters at three geographic levelsQ58371309
P4510describes a project that usesArcGISQ513297
P921main subjectGoogleQ95
Czech RepublicQ213
Google EarthQ42274
P304page(s)7
P577publication date2015-01-28
P1433published inInternational Journal of Health GeographicsQ15752546
P1476titleUsing geovisual analytics in Google Earth to understand disease distribution: a case study of campylobacteriosis in the Czech Republic (2008-2012)
P478volume14

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cites work (P2860)
Q56891723An Exploration of the Spatiotemporal and Demographic Patterns of Ebola Virus Disease Epidemic in West Africa Using Open Access Data Sources
Q35907106Selection of the Maximum Spatial Cluster Size of the Spatial Scan Statistic by Using the Maximum Clustering Set-Proportion Statistic.
Q90408684Using the maximum clustering heterogeneous set-proportion to select the maximum window size for the spatial scan statistic

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