@article{102700,
  keywords = {Binary Logistic Regression, Filariasis, Hierarchical Method, Neglected tropical diseases (NTDs), Poverty},
  author = {Oktora SI and Matualage D and Amalia Pasaribu A and Fitriyani Sahamony N and Kurnia A},
  title = {Strategy for eliminating neglected tropical diseases through individual and area aspects using the hierarchical logistic regression method},
  abstract = {<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>},
  year = {2025},
  journal = {BAREKENG: Jurnal Ilmu Matematika dan Terapan},
  volume = {19},
  pages = {2495-2506},
  publisher = {Universitas Pattimura},
  issn = {2615-3017, 1978-7227},
  url = {https://ojs3.unpatti.ac.id/index.php/barekeng/article/view/17207/11055},
  doi = {10.30598/barekengvol19iss4pp2495-2506},
  language = {ENG},
}