BulDML at Institute of Mathematics and Informatics >
IMI Periodicals >
Pliska Studia Mathematica Bulgarica >
2017 Volume 27 >

Please use this identifier to cite or link to this item:

Title: A Bayesian Spatial Analysis of Mumps Data in Bulgaria
Authors: Zhelyazkova, Maya
Yordanova, Roumyana
Slavtchova-Bojkova, Maroussia
Keywords: Conditional autoregressive models
Disease mapping
spatial correlation
Issue Date: 2017
Publisher: Institute of Mathematics and Informatics at the Bulgarian Academy of Sciences
Citation: Pliska Studia Mathematica Bulgarica, Vol. 27, No 1, (2017), 123p-130p
Abstract: Bayesian spatial methods have been widely applied in different scientific areas such as epidemiological studies, image processing and many others. In this work we use Bayesian hierarchical model with Gaussian conditionally autoregressive prior to a collection of weekly mumps data from 2007 outbreak in Bulgaria. We generate a disease mapping of the crude standardized incidence ratio across all regional centers. Similar mapping is also produced for the smoothed relative risk. The combination of methods for estimates of the relative risk is a powerful tool to identify high risk regions and may be used to guide local authorities and programs. 2010 Mathematics Subject Classification: 62-07.
Description: [Zhelyazkova Maya; Желязкова Мая]; [Yordanova Roumyana; Йорданова Румяна]; [Slavtchova-Bojkova Maroussia; Славчова-Божкова Маруся]
ISSN: 0204-9805
Appears in Collections:2017 Volume 27

Files in This Item:

File Description SizeFormat
Pliska-27-2017-123-130.pdf420.02 kBAdobe PDFView/Open


Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.


Valid XHTML 1.0!   Creative Commons License