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.
