ESTIMASI: Journal of Statistics and Its Application
Vol. 1, No. 1, Januari, 2020 : Estimasi

Bayesian Conditional Autoregressive (CAR) dengan Model Localised dalam Menaksir Risiko Relatif DBD di Kota Makassar

Rusydah Khaerati (Hasanuddin University)
Andi Kresna Jaya (Hasanuddin University)



Article Info

Publish Date
02 Feb 2022

Abstract

Bayesian Conditional Autoregressive (CAR) is used in disease mapping because it is able to model relative risks by taking into account the smoothing of the estimated relative risk and entering spatial information to reduce the errors of the estimated relative risk parameters so that a more reliable relative risk model is obtained. In this study, the relative risk value of the spread of dengue fever will be calculated using Bayesian CAR with the localised model. These results were obtained using the OpenBUGS program and are illustrated in the 2016 dengue fever case data. Based on the model, mapping of dengue fever in Makassar can be identified in each district and shows that Makassar City is still very vulnerable to dengue fever.

Copyrights © 2020






Journal Info

Abbrev

ESTIMASI

Publisher

Subject

Mathematics

Description

ESTIMASI: Journal of Statistics and Its Application, is a journal published by the Department of Statistics, Faculty of Mathematics and Natural Sciences, Hasanuddin University. ESTIMASI is a peer – reviewed journal with the online submission system for the dissemination of statistics and its ...