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Spatial Autocorrelation of HIV Cases Based on Key and Special Populations in West Sumatra 2021–2024
Jurnal Kesmas Jambi
ISSN 2580-5894, 2549-8053
Terbit 2026-03-31
Penerbit Program Studi Ilmu Kesehatan Masyarakat, Universitas Jambi
Bahasa en
Abstrak
HIV cases continue to be a public health issue in West Sumatra Province, as seen from the increasing number of cases each year. Differences in regional characteristics are suspected to contribute to the pattern of HIV spread, so a spatial approach is needed to understand the variation in case distribution more deeply. This study uses an ecological study design by analyzing 19 districts/cities in West Sumatra during the period 2021-2024. The Global Moran’s I and LISA methods were applied to identify spatial autocorrelation patterns. The research results show that there are 7,260 HIV cases with a continuously increasing trend each year. Global spatial analysis shows a significant negative autocorrelation, indicating a dispersed distribution pattern, with a dominance of Low-High clusters in most regions. High spatial heterogeneity that is not concentrated in a single cluster was identified in West Sumatra province. Health policy interventions based on regional characteristics are needed to optimize resource allocation and future HIV prevention strategies.
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Sumber metadata: OAI-PMH (metadata jurnal) https://online-journal.unja.ac.id/index.php/jkmj/oai, pertama di-harvest 6 Nov 2026, terakhir terlihat 8 Nov 2026.
Metadata asli (oai_dc)
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<dc:title xml:lang="en">Spatial Autocorrelation of HIV Cases Based on Key and Special Populations in West Sumatra 2021–2024</dc:title>
<dc:creator xml:lang="en">Diastanti, Yunita</dc:creator>
<dc:creator xml:lang="en">Masrizal, Masrizal</dc:creator>
<dc:creator xml:lang="en">Widoyo, Ratno</dc:creator>
<dc:subject xml:lang="en">Ecology</dc:subject>
<dc:subject xml:lang="en">HIV</dc:subject>
<dc:subject xml:lang="en">Key Populations</dc:subject>
<dc:subject xml:lang="en"> Spatial Analysis</dc:subject>
<dc:subject xml:lang="en">Special Populations</dc:subject>
<dc:description xml:lang="en">HIV cases continue to be a public health issue in West Sumatra Province, as seen from the increasing number of cases each year. Differences in regional characteristics are suspected to contribute to the pattern of HIV spread, so a spatial approach is needed to understand the variation in case distribution more deeply. This study uses an ecological study design by analyzing 19 districts/cities in West Sumatra during the period 2021-2024. The Global Moran’s I and LISA methods were applied to identify spatial autocorrelation patterns. The research results show that there are 7,260 HIV cases with a continuously increasing trend each year. Global spatial analysis shows a significant negative autocorrelation, indicating a dispersed distribution pattern, with a dominance of Low-High clusters in most regions. High spatial heterogeneity that is not concentrated in a single cluster was identified in West Sumatra province. Health policy interventions based on regional characteristics are needed to optimize resource allocation and future HIV prevention strategies.</dc:description>
<dc:publisher xml:lang="en">Program Studi Ilmu Kesehatan Masyarakat, Universitas Jambi</dc:publisher>
<dc:date>2026-03-31</dc:date>
<dc:type>info:eu-repo/semantics/article</dc:type>
<dc:type>info:eu-repo/semantics/publishedVersion</dc:type>
<dc:type xml:lang="en">Peer-reviewed Article</dc:type>
<dc:format>application/pdf</dc:format>
<dc:identifier>https://online-journal.unja.ac.id/jkmj/article/view/55317</dc:identifier>
<dc:identifier>10.22437/jkmj.v10i1.55317</dc:identifier>
<dc:source xml:lang="en">Jurnal Kesmas Jambi; Vol. 10 No. 1 (2026): VOLUME 10 - NUMBER 1 (DECEMBER 2025 - MARCH 2026); 76-88</dc:source>
<dc:source>2580-5894</dc:source>
<dc:source>2549-8053</dc:source>
<dc:language>en</dc:language>
<dc:relation>https://online-journal.unja.ac.id/jkmj/article/view/55317/24410</dc:relation>
<dc:rights xml:lang="en">Copyright (c) 2026 Yunita Diastanti, Masrizal Masrizal, Ratno Widoyo (Author)</dc:rights>
<dc:rights xml:lang="en">http://creativecommons.org/licenses/by/4.0</dc:rights>
</oai_dc:dc>
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APA 7
Diastanti, Y., Masrizal, M., & Widoyo, R. (2026). Spatial Autocorrelation of HIV Cases Based on Key and Special Populations in West Sumatra 2021–2024. Jurnal Kesmas Jambi, 10(1), 76–88. https://doi.org/10.22437/jkmj.v10i1.55317
Salin
IEEE
Y. Diastanti, M. Masrizal, and R. Widoyo, “Spatial Autocorrelation of HIV Cases Based on Key and Special Populations in West Sumatra 2021–2024,” Jurnal Kesmas Jambi, vol. 10, no. 1, pp. 76–88, 2026, doi: 10.22437/jkmj.v10i1.55317.
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