Multivariate spatial M-models on sexually transmitted infections in West Java
DOI:
https://doi.org/10.58524/jgsa.v2i1.120Keywords:
BYM 2, CAR, Hepatitis B & C, HIV, INLAAbstract
HIV and hepatitis B & C are sexually transmitted infections (STIs) that are still a serious health problem in Indonesia, especially in West Java province which has recorded a high number of cases in recent years. However, many previous studies still use a univariate approach that has not considered the interrelationships between diseases or spatial interrelationships between regions. This paper use Bayesian multivariate spatial M-models approach with three types of spatial priors to investigate interrelationships between HIV and hepatitis B & C and its spatial factors. Models with fixed effect components and spatial random effects based on regional neighborliness. Inference is performed using integrated nested Laplace approximation (INLA). Factors that significantly influence the distribution of HIV and hepatitis B & C are mostly similar, such as the number of villages on mountain slopes, the number of poor people, and the unemployment rate. Average education also influenced hepatitis B & C. Variables from the tourism dimension had no significant effect. Spatial patterns show similarities in the distribution of relative risk of both diseases, with strong and significant correlations. High-risk areas are generally located in urban. Multivariate spatial models showed strong associations between HIV and hepatitis B & C, with similar factors and distribution patterns.
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Copyright (c) 2026 Salman Alfarisi, Ro'fah Nur Rachmawati, Achmad Abdurrazzaq, Achi Rinaldi, Djoko Heksa Purnomo (Author)
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