Please use this identifier to cite or link to this item: http://localhost:8080/xmlui/handle/123456789/11595
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dc.contributor.authorBudi Satria, Eka-
dc.contributor.authorDewata, Indang-
dc.contributor.authorUmar, Iswandi-
dc.contributor.authorSyah, Nurhasan-
dc.contributor.authorHandayuni, Linda-
dc.contributor.authorHasnita, Evi-
dc.date.accessioned2025-07-14T02:32:34Z-
dc.date.available2025-07-14T02:32:34Z-
dc.date.issued2024-12-
dc.identifier.issn2356-4067-
dc.identifier.urihttp://localhost:8080/xmlui/handle/123456789/11595-
dc.description.abstractABSTRACT Tuberculosis is still an infectious disease problem and the main cause of death in Indonesia, where there was an increase in cases from 301 per 100,000 population (2020) to 354,000 per 100,000 population (2021), with the death rate increasing by 55%. This research aims to determine the TB vulnerability cluster influenced by the main risk factors, namely TB prevalence, cure rate, immunization, population density, and population arrivals in Bukittinggi, using the Weight Product (WP) analysis method, and then describe them by mapping tuberculosis vulnerability. The findings indicate that four sub-districts exhibit the highest levels of tuberculosis vulnerability: Tarok Dipo (0.0379), Campago Guguk Bulek (0.0399), Campago Ipuh (0.0399), and Aur Tajungkang Tangah Sawah (0.0389). A multi-sectoral TB control committee comprising public works, environmental, and health agencies should be formed to organize and carry out focused actions. Establish a strong TB surveillance system that includes contact tracing, active case finding, and routine monitoring of important indicators. Create and implement specialized intervention packages for high-vulnerability subdistricts, including social support programs, housing rehabilitation, and air quality control.en_US
dc.language.isoenen_US
dc.publisherPublished by Public Health Faculty, Hasanuddin Universityen_US
dc.subjectTuberculosis;en_US
dc.subjectvulnerability;en_US
dc.subjectenvironmental;en_US
dc.subjectweighted product;en_US
dc.titlePredicting Tuberculosis Vulnerability Based on Environmental Factors Using Multi-Criteria Analysis in Bukittinggien_US
dc.typeArticleen_US
Appears in Collections:VOL 20 NO 4 2024

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