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dc.contributor.authorHernandez-Vasquez, Akram-
dc.contributor.authorBendezu-Quispe, Guido-
dc.contributor.authorCayo, Efrain Y. Turpo-
dc.date.accessioned2024-11-06T03:15:37Z-
dc.date.available2024-11-06T03:15:37Z-
dc.date.issued2022-
dc.identifier.issn1658-3612-
dc.identifier.urihttp://localhost:8080/xmlui/handle/123456789/7317-
dc.description.abstractObjectives: This study aimed to geospatially model the level of geographic accessibility to health facilities among Amazonian Indigenous communities in a region of Peru. Methods: Spatial modeling of the physical accessibility of the Indigenous communities to the nearest health facility was performed through cost-distance analysis. The study area was Loreto, the region with the largest territorial area and number of Indigenous communities in Peru. The time required to reach a health facility was determined by cumulatively adding the time needed to cross the grids on the lowest cost route from the Indigenous communities’ locations to the nearest health facility, by considering Amazonian geographical conditions and the main types of transport used. Results: The median time to reach a health facility was 0.96 h (interquartile range: 0.45e2.41). Of the total communities (n ¼ 1043), only 479 (45.93%) communities were within 1 h from the nearest health facility, and 161 (15.44%) were more than 8 h away. The Indigenous communities more than 8 h away from a health establishment were located in the border areas of the department of Loreto. Conclusion: One in two Indigenous communities is more than 1 h from the nearest health facility.en_US
dc.language.isoen_USen_US
dc.publisherJournal of Taibah University Medical Sciencesen_US
dc.relation.ispartofseriesOriginal Article;810-817-
dc.subjectGeographic information systemsen_US
dc.subjectNative communitiesen_US
dc.subjectPeruen_US
dc.subjectSouth Americaen_US
dc.subjectSpatial analysisen_US
dc.subjectSpatial interaction modelen_US
dc.titleIndigenous communities of Peru: Level of accessibility to health facilitiesen_US
dc.typeArticleen_US
Appears in Collections:Vol 17 No 5 (2022)

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