Open AccessGeographically Weighted Negative Binomial Regression (GWNBR) Modeling to Analyze Factors Affecting the Number of New HIV/AIDS Cases on The Island of Java in 2019
Author(s) -
Rifal Miju,
Achmad Prasetyo
Publication year - 2021
Publication title -
prosiding seminar nasional official statistics
Language(s) - English
Resource type - Journals
ISSN - 2722-1970
DOI - 10.34123/semnasoffstat.v2021i1.1079
Subject(s) - christian ministry , java , negative binomial distribution , demography , geography , population , human immunodeficiency virus (hiv) , regression analysis , distribution (mathematics) , socioeconomics , environmental health , statistics , medicine , mathematics , computer science , political science , sociology , family medicine , mathematical analysis , law , poisson distribution , programming language
One of the problems in the health sector is the HIV/AIDS epidemic. The country of Indonesia itself is in the 5th most at risk of HIV/AIDS in the Asian continent (Ministry of Health of the Republic of Indonesia, 2013). The island of Java as the area with the highest number of cases with a population of about 56 percent of the total population of Indonesia. The purposes of this study are to find out the general description of the distribution of HIV/AIDS in Java and to identify the influencing factors by considering the effect of regional proximity. The results of the analysis show that the distribution of the number of HIV/AIDS cases is relatively clustered between regions that have high and low number of cases, this indicates a spatial effect between regions. Then the GWNBR shows that there are differences in the significance of the variables in each region and forms 9 groups of regency/municipality based on the significant variables.