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The Application of Empirical Bayes to Model Dengue Fever in Padang, Indonesia
Ferra Yanuar, Hazmira Yozza, Siti Juriah, Rahmatika Fajriyati

Department of Mathematics, Faculty of Mathematics and Natural Science, Andalas University, Kampus Limau Manis, 25163, Padang – Indonesia


Abstract

The Dengue Fever is an infectious disease which has always been one of the main health problems in Indonesian society. Dengue Fever is transmitted by Aedes Aegypti mosquito bites. The purposes of this study is to estimate the relative risk of spreading the dengue fever disease in Padang. Estimation is done using the Small Area Estimation method with the Empirical Bayes approach. Small area estimation is useful for estimating parameters in small subpopulations (areas) which have limited number of samples thus acceptable parameter values are hard to be obtained. In this study the construction of the model is based on Poisson-Gamma model and secondary data from Dinas Kesehatan Padang 2017 is used. This study resulted that for each district in Padang, the average relative risk of the spreading of dengue fever is almost the same, which are at medium and low level.

Keywords: Dengue Fever, Empirical Bayes, Small Area Estimation, Poisson-Gamma model

Topic: Mathematics

Link: https://ifory.id/abstract/TtFh8jm3REW9

Conference: Mathematics, Science and Computer Science Education International Seminar (MSCEIS 2019)

Plain Format | Corresponding Author (Ferra Yanuar)

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