Dengue Disease Mapping in Bandung, Indonesia: An Analysis Based on Poisson-gamma, Log-normal, BYM and Mixture Models

Abstract

Dengue is the most rapidly spreading mosquitoes-borne viral disease in the world, especially in Bandung, Indonesia. This disease can be controlled if detected early. Therefore, in order to prevent and control this disease before it occurs, government and society must be cooperative to eradicate this dangerous disease. The statistical model used in the study of disease mapping can be considered as an important contribution. In this paper, the relative risk estimations using the Poisson-gamma, Log-normal, Besag, York and Mollié (BYM) and Mixture models for Bandung municipality will be investigated. In this study, the aggregated data of observed dengue data from Bandung, Indonesia from the year 2013 will be analyzed. The estimated relative risk will be displayed in tables and maps to obtain the clearer depictions of disease risks distribution in each area.