Identification of Factors Affecting Tuberculosis in West Java using Spatial Modeling

Authors

  • Yusma Yanti Computer Science Department, Pakuan University, Bogor, Indonesia
  • Septian Rahardiantoro Department of Statistics, IPB University, Indonesia

DOI:

https://doi.org/10.29244/icsa.2019.pp9-17

Keywords:

Generalized Spatial Model, Spatial Autoregressive Model, Spatial Error Model, Tuberculosis

Abstract

Tuberculosis (TB) is an infectious disease caused by the bacillus Mycobacterium tuberculosis. In 2017 WHO records there are 1.7 billion TB sufferers in the world. Whereas in the same year TB sufferers in Indonesia reached 421 thousand cases and 10 thousand of them were in the province of West Java. In this study, the factors that suspected to influence TB include poverty, population density and malnutrition were analyzed by looking at the spatial aspects. In addition to these factors, smoking and consuming alcoholic beverages can also trigger TB. The method used was Spatial Autoregressive Model (SARM), Spatial Error Model (SEM), and Generalized Spatial Model (GSM), then the best model is chosen based on the best criteria of lagrange multiplayer test. The result indicated that SEM performed better than others, with the following significant variables were malnutrition and unemployment factor.

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Published

2021-02-26