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  • One of main aims of the spatial analysis of health and medical datasets is to provide additional information in the specialized medical research. These analyses can be used for disease mapping; searching for places with the higher intensity and probability of the disease occurrence; or the influence assessment of selected natural or artificial phenomena. While the space is obviously a crucial component within spatial analysis, it is also a very problematic part in geospatial research of health data. The following contribution aims to presents the current situation of providing (mainly public) health data sets in the Czech Republic and the usability of data for geo-analyses. Simultaneously, the issue of the anonymization methods of these highly private data is discussed, as they are one of frequently used by data providers. Last part is dealing with the form of results, which should be as precise as it is possible on one hand, but it should not reveal any private or sensitive data than it is necessary.
  • One of main aims of the spatial analysis of health and medical datasets is to provide additional information in the specialized medical research. These analyses can be used for disease mapping; searching for places with the higher intensity and probability of the disease occurrence; or the influence assessment of selected natural or artificial phenomena. While the space is obviously a crucial component within spatial analysis, it is also a very problematic part in geospatial research of health data. The following contribution aims to presents the current situation of providing (mainly public) health data sets in the Czech Republic and the usability of data for geo-analyses. Simultaneously, the issue of the anonymization methods of these highly private data is discussed, as they are one of frequently used by data providers. Last part is dealing with the form of results, which should be as precise as it is possible on one hand, but it should not reveal any private or sensitive data than it is necessary. (en)
Title
  • Health Datasets in Spatial Analyses: What We Want, What We Get and What We Can Use
  • Health Datasets in Spatial Analyses: What We Want, What We Get and What We Can Use (en)
skos:prefLabel
  • Health Datasets in Spatial Analyses: What We Want, What We Get and What We Can Use
  • Health Datasets in Spatial Analyses: What We Want, What We Get and What We Can Use (en)
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  • RIV/61989592:15310/13:33145319!RIV14-MSM-15310___
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  • P(EE2.3.20.0170)
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  • 77118
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  • RIV/61989592:15310/13:33145319
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  • Spatial analyses, health data, private information, anonymization, re-identification, visualization, data providers, disease mapping (en)
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  • [6E62B8E1AC8F]
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  • Antalya, Turkey
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  • Antalya
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  • Recent Advances in Geodesy and Geomatics Engineering
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  • Dvorský, Jiří
  • Tuček, Pavel
  • Marek, Lukáš
  • Vávra, Aleš
  • Pászto, Vít
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  • 2227-4359
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  • 978-960-474-335-3
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  • 15310
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