| Attributes | Values |
|---|
| rdf:type
| |
| Description
| - This paper presents usage of spatial methods applied on the epidemiological data from Olomouc region - one of administrative units of Czech Republic corresponding with NUTS3. The database of infectious diseases is called EPIDAT and it contains information about every case of the infection which is reported by local doctors. EPIDAT also contains data about infected patients like place of residence, place of infecting, time of treatment, way of isolation etc. Although exact addresses of patients are known, due to the necessity of the preserving anonymity, all records are aggregated into the scale of cadastral units or regular fishnet. Also only several selected diagnoses from the period 2004-2010 are used for purpose of this paper. Several specific problems arise with usage of health database within GIS. The biggest and most important tasks are editing of addresses into proper form followed by geocoding of several thousand records and subsequent anonymization of data. Main advantage of GIS is ability for the evaluation of spatial patterns. Methods of spatial clustering, spatial autocorrelation and local indicators of spatial association or spatial entropy provide sufficient exploratory tools for health data. These methods allow finding main centres of infection and, on the contrary, regions of resistance to the disease. Then, multivariate statistical analyses of data can serve as suitable complement to categorization and previous spatial operations.
- This paper presents usage of spatial methods applied on the epidemiological data from Olomouc region - one of administrative units of Czech Republic corresponding with NUTS3. The database of infectious diseases is called EPIDAT and it contains information about every case of the infection which is reported by local doctors. EPIDAT also contains data about infected patients like place of residence, place of infecting, time of treatment, way of isolation etc. Although exact addresses of patients are known, due to the necessity of the preserving anonymity, all records are aggregated into the scale of cadastral units or regular fishnet. Also only several selected diagnoses from the period 2004-2010 are used for purpose of this paper. Several specific problems arise with usage of health database within GIS. The biggest and most important tasks are editing of addresses into proper form followed by geocoding of several thousand records and subsequent anonymization of data. Main advantage of GIS is ability for the evaluation of spatial patterns. Methods of spatial clustering, spatial autocorrelation and local indicators of spatial association or spatial entropy provide sufficient exploratory tools for health data. These methods allow finding main centres of infection and, on the contrary, regions of resistance to the disease. Then, multivariate statistical analyses of data can serve as suitable complement to categorization and previous spatial operations. (en)
|
| Title
| - Spatial analysis of epidemiological data: case study in Olomouc region
- Spatial analysis of epidemiological data: case study in Olomouc region (en)
|
| skos:prefLabel
| - Spatial analysis of epidemiological data: case study in Olomouc region
- Spatial analysis of epidemiological data: case study in Olomouc region (en)
|
| skos:notation
| - RIV/61989592:15310/12:33143211!RIV13-MSM-15310___
|
| http://linked.open...avai/riv/aktivita
| |
| http://linked.open...avai/riv/aktivity
| |
| http://linked.open...vai/riv/dodaniDat
| |
| http://linked.open...aciTvurceVysledku
| |
| http://linked.open.../riv/druhVysledku
| |
| http://linked.open...iv/duvernostUdaju
| |
| http://linked.open...titaPredkladatele
| |
| http://linked.open...dnocenehoVysledku
| |
| http://linked.open...ai/riv/idVysledku
| - RIV/61989592:15310/12:33143211
|
| http://linked.open...riv/jazykVysledku
| |
| http://linked.open.../riv/klicovaSlova
| - clustering; entropy; LISA; Epidemiological data; Spatial epidemiology (en)
|
| http://linked.open.../riv/klicoveSlovo
| |
| http://linked.open...ontrolniKodProRIV
| |
| http://linked.open...v/mistoKonaniAkce
| |
| http://linked.open...i/riv/mistoVydani
| |
| http://linked.open...i/riv/nazevZdroje
| - Conference proceedings 12th International Multidisciplinary Scientific GeoConference, Volume II
|
| http://linked.open...in/vavai/riv/obor
| |
| http://linked.open...ichTvurcuVysledku
| |
| http://linked.open...cetTvurcuVysledku
| |
| http://linked.open...UplatneniVysledku
| |
| http://linked.open...iv/tvurceVysledku
| - Tuček, Pavel
- Marek, Lukáš
- Pászto, Vít
|
| http://linked.open...vavai/riv/typAkce
| |
| http://linked.open.../riv/zahajeniAkce
| |
| issn
| |
| number of pages
| |
| http://bibframe.org/vocab/doi
| - 10.5593/sgem2012/s09.v2031
|
| http://purl.org/ne...btex#hasPublisher
| |
| https://schema.org/isbn
| |
| http://localhost/t...ganizacniJednotka
| |
![[RDF Data]](/fct/images/sw-rdf-blue.png)
![[cxml]](/fct/images/cxml_doc.png)
![[csv]](/fct/images/csv_doc.png)
![[text]](/fct/images/ntriples_doc.png)
![[turtle]](/fct/images/n3turtle_doc.png)
![[ld+json]](/fct/images/jsonld_doc.png)
![[rdf+json]](/fct/images/json_doc.png)
![[rdf+xml]](/fct/images/xml_doc.png)
![[atom+xml]](/fct/images/atom_doc.png)
![[html]](/fct/images/html_doc.png)