<![CDATA[ndonesia is a country with the third-highest prevalence of stunting in the Southeast Asian region. South Sulawesi Province, one of the provinces in Indonesia, has a fairly high number of stunting cases. The implementation of the Bayesian Spatial Conditional Autoregressive (CAR) model in estimating the relative risk (RR) of stunting cases has not been carried out in Indonesia, especially in South Sulawesi Province. This study aims to determine the relative risk of stunting cases by using the Bayesian spatial CAR Leroux model and to build a thematic map of the relative risk of stunting cases in all districts/cities in South Sulawesi Province. The results show that the Bayesian spatial CAR Leroux model with hyperprior IG(0.5; 0.0005) is the best model based on the criteria used. Toraja district, Parepare City, and Enrekang district are the three districts/cities with the highest relative risk of stunting. On the other hand, Gowa district, Makassar City, and Pinrang district are the three regions with the lowest relative risk of stunting.]]>
Copyrights © 2022
