Spatial Regression Analysis on Factors Influencing Number of HIV/AIDS Cases in Indonesia

Herlina Hanum, Yuli Andriani, Risma Dwi Yunita Yana and Dwi Setyawan
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Herlina Hanum: Department of Mathematics, Faculty of Mathematics and Natural Sciences, Sriwijaya University, Kampus Inderalaya Km 32 Ogan Ilir 30662, Indonesia
Yuli Andriani: Department of Mathematics, Faculty of Mathematics and Natural Sciences, Sriwijaya University, Kampus Inderalaya Km 32 Ogan Ilir 30662, Indonesia
Risma Dwi Yunita Yana: Department of Soil Science, Faculty of Agriculture, Sriwijaya University, Kampus Inderalaya Km 32 Ogan Ilir 30662, Indonesia
Dwi Setyawan: Department of Soil Science, Faculty of Agriculture, Sriwijaya University, Kampus Inderalaya Km 32 Ogan Ilir 30662, Indonesia

International Journal of Research and Scientific Innovation, 2024, vol. 11, issue 15, 730-738

Abstract: HIV/AIDS cases from one region are thought to be influenced by the surrounding areas. Analysis of factors influencing HIV/AIDS cases can be done through classical Linear Regression. However, Spatial Regression analysis is a more appropriate method to use if it takes location into account. The purpose of this study was to conduct a spatial regression analysis on HIV/AIDS cases in Indonesia in 2021. Spatial dependency testing and selection of spatial regression models were carried out using Moran’s I and Lagrange Multiplier (LM) tests. The Moran’s index value obtained0

Date: 2024
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