ArticleJournal of preventive medicine and public health = Yebang Uihakhoe chi2025
Mapping Asbestos Vulnerability in Indonesia Using Earthquake Vulnerability.
Article in Journal of preventive medicine and public health = Yebang Uihakhoe chi, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.
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Abstract
objectivesThis study aims to create Indonesia's first asbestos exposure risk map by analyzing asbestos roofing prevalence, population density, and earthquake vulnerability. This represents a significant innovation by providing valuable insights to support the prevention of asbestos-related diseases in Indonesia.
methodsThis semi-quantitative study was conducted between June 2024 and September 2024. Data on asbestos roof usage and population density were obtained from the Indonesian Central Statistics Agency, while earthquake risk data were sourced from the Geological Disaster Mitigation Portal. Risk categorization was applied to each variable, and a matrix was developed to evaluate combined risks. Validation was conducted through cross-referencing, and maps were generated using Geographic Information System software.
resultsNationally, asbestos roofing use is approximately 8.10%, although prevalence varies significantly among provinces. Bangka Belitung has the highest prevalence at 55.16%, followed by DKI Jakarta (52.10%), Riau Islands (31.99%), and Banten (21.22%). DKI Jakarta also has the highest population density, with 16 158 inhabitants per square kilometer. Combining these factors, DKI Jakarta emerges as the province with the highest asbestos exposure risk. Based on asbestos roofing prevalence, population density, and earthquake risk, provinces classified at very high asbestos exposure risk include DKI Jakarta, West Java, DI Yogyakarta, East Java, Banten, Bali, and West Nusa Tenggara. Provinces categorized as high-risk include North Sumatra, Bengkulu, Lampung, and Central Java.
conclusionsThis map supports the development of future public health policies by identifying high-risk areas, optimizing resource allocation, and informing targeted intervention strategies.
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