An Empirical Bayesian Model in Disease Mapping of TB in Regency Bandung

Abstract

In this paper we proposed an Empirical Bayesian model in estimating the relative risk of people getting a Tuberculosis (TB) diseases in a small area.. Which is one of the top rank diseases causing death in Indonesia. It is considered that the proposed model will alleviate some of the draw back that exist in the Standardized Mortality Ratio (SMR) method in estimating relative risk. It is shown that the proposed EB method produce an estimate of the risk which is a weighting averegae of SMR and EB estimate. To give a complete insight into the paper, we give an illustration concerning the case of Tuberculosis (TB), which is still considered as a killer disease in Indonesia.