TY - JOUR
KW - Binary Logistic Regression
KW - Filariasis
KW - Hierarchical Method
KW - Neglected tropical diseases (NTDs)
KW - Poverty
AU - Oktora SI
AU - Matualage D
AU - Amalia Pasaribu A
AU - Fitriyani Sahamony N
AU - Kurnia A
AB - <jats:p>Filariasis is one of the Neglected Tropical Diseases (NTDs) that is often associated with poverty and marginalized community groups. Papua is the province with the highest number of chronic filariasis cases and has the largest number of endemic districts/municipalities compared to other provinces in Indonesia. Papua is also the province with the highest poverty rate in Indonesia. To support the government's filariasis elimination program, this study aims to determine variables that influence the incidence of filariasis in Papua at the individual and area levels. This study uses 2018 Indonesia Basic Health Research data from the Ministry of Health and regional data from BPS-Statistics Indonesia. The results using Hierarchical Binary Logistic Regression concluded that defecation behavior in latrines, prevention behavior against mosquito bites, participation in mass preventive drug administration, number of poor people, and number of health workers have a significant effect on the incidence of filariasis. In contrast, the variables age, gender, type of work, and level of education do not have a significant effect.</jats:p>
BT - BAREKENG: Jurnal Ilmu Matematika dan Terapan
DO - 10.30598/barekengvol19iss4pp2495-2506
IS - 4
LA - ENG
M3 - Article
N2 - <jats:p>Filariasis is one of the Neglected Tropical Diseases (NTDs) that is often associated with poverty and marginalized community groups. Papua is the province with the highest number of chronic filariasis cases and has the largest number of endemic districts/municipalities compared to other provinces in Indonesia. Papua is also the province with the highest poverty rate in Indonesia. To support the government's filariasis elimination program, this study aims to determine variables that influence the incidence of filariasis in Papua at the individual and area levels. This study uses 2018 Indonesia Basic Health Research data from the Ministry of Health and regional data from BPS-Statistics Indonesia. The results using Hierarchical Binary Logistic Regression concluded that defecation behavior in latrines, prevention behavior against mosquito bites, participation in mass preventive drug administration, number of poor people, and number of health workers have a significant effect on the incidence of filariasis. In contrast, the variables age, gender, type of work, and level of education do not have a significant effect.</jats:p>
PB - Universitas Pattimura
PY - 2025
SP - 2495
EP - 2506
T2 - BAREKENG: Jurnal Ilmu Matematika dan Terapan
TI - Strategy for eliminating neglected tropical diseases through individual and area aspects using the hierarchical logistic regression method
UR - https://ojs3.unpatti.ac.id/index.php/barekeng/article/view/17207/11055
VL - 19
SN - 2615-3017, 1978-7227
ER -