Bayesian Mapping of Medical Data
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F61989592%3A15310%2F15%3A33152467" target="_blank" >RIV/61989592:15310/15:33152467 - isvavai.cz</a>
Result on the web
<a href="http://dx.doi.org/10.1007/978-3-319-07926-4_37" target="_blank" >http://dx.doi.org/10.1007/978-3-319-07926-4_37</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.1007/978-3-319-07926-4_37" target="_blank" >10.1007/978-3-319-07926-4_37</a>
Alternative languages
Result language
angličtina
Original language name
Bayesian Mapping of Medical Data
Original language description
Disease mapping, the visualization of disease rates and the clustering of disease data are still one of the most interesting topics in geosciences. This is because of the nature of the data, which are often purely spatial with a rich descriptive part andwhich are easy to combine with other data (demographic, economic, etc.). This contribution aims to present the usage of empirical Bayesian methods in disease mapping and the subsequent creation of disease maps. Bayesian methods incorporate prior knowledge about the phenomenon (or underlying processes) to provide a more accurate and easily understandable description of the situation. Empirical Bayesian procedures are used for disease rates smoothing in the case of a choropleth map. They also help to identify local clusters of more/less affected areas. The main topic of the case study in this paper is the analysis of the spatial distribution of a disease called campylobacteriosis in the Czech Republic between the years 2008 and 2012 with
Czech name
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Czech description
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Classification
Type
C - Chapter in a specialist book
CEP classification
DE - Earth magnetism, geodesy, geography
OECD FORD branch
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Result continuities
Project
<a href="/en/project/EE2.3.20.0170" target="_blank" >EE2.3.20.0170: Building of Research Team in the Field of Environmental Modeling and the Use of Geoinformation Systems with the Consequence in Participation in International Networks and Programs</a><br>
Continuities
P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)
Others
Publication year
2015
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Data specific for result type
Book/collection name
Modern Trends in Cartography
ISBN
978-3-319-07925-7
Number of pages of the result
17
Pages from-to
489-505
Number of pages of the book
534
Publisher name
Springer International Publishing
Place of publication
Cham
UT code for WoS chapter
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