Spatial Clustering of Disease Events Using Bayesian Methods

Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F61989592%3A15310%2F14%3A33152444" target="_blank" >RIV/61989592:15310/14:33152444 - isvavai.cz</a>
Result on the web
<a href="http://ceur-ws.org/Vol-1139/paper3.pdf" target="_blank" >http://ceur-ws.org/Vol-1139/paper3.pdf</a>
DOI - Digital Object Identifier
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Result language
angličtina
Original language name
Spatial Clustering of Disease Events Using Bayesian Methods
Original language description
One of main aims of the spatial analysis of health and medical datasets is to provide additional information to the specialized medical research. These analyses can be used for disease mapping; searching for places with a higher intensity and probabilityof the disease event; or the influence assessment of selected natural or artificial phenomena. Suitably selected methods allow a proper analysis of these data and identification of irregularities and deviations of the phenomena in the area of interest.The structure of medical data usually needs to be standardized (over age structure of the population) before the comparison of different regions. Bayesian statistics derives the posterior probability as a consequence of a prior probability and a probability model for the data observed. Geosciences and geomedicine usually use the Bayesian theory for smoothing of data - to help depict the real spatial pattern and its changeability. The Bayesian principles, together with the spatial neighbo
Czech name
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Czech description
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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)

Publication year
2014
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Article name in the collection
Proceedings of the Dateso 2014 Annual International Workshop on DAtabases, TExts, Specifications and Objects
ISBN
978-80-01-05482-6
ISSN
1613-0073
e-ISSN
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Number of pages
10
Pages from-to
25-34
Publisher name
CEUR-WS
Place of publication
Praha
Event location
Roudnice nad Labem
Event date
Apr 16, 2014
Type of event by nationality
EUR - Evropská akce
UT code for WoS article
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