Mapping of Pneumonia Disease in Malaysia Using Poisson-Gamma Model

Abstract

Bayesian models have been used as one of the estimation techniques for smoothing relative risks estimation for disease mapping. One of the most commonuses of Bayesian methodology in disease mapping is Poisson-gamma model. This paper begins with a brief introduction of pneumonia disease. Then followed by a review of methodology used in this paper that is Poisson-gamma model which used to estimate the values of relative risk.Then, the results will be shown into a map to show pneumonia risk areas. The risk areas can be shown clearlythrough disease map. Thus, the objective of this study is to estimate the value of relative risk for pneumonia based on Poisson-gamma model. Pulau Pinang, Perak, Selangor, Kuala Lumpur & Putrajaya, Sabah, Labuan and Sarawak are categorized as low-risk of pneumonia occurrence, while Terengganu and Negeri Sembilan categorized as high-risk areas.