{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,12,10]],"date-time":"2025-12-10T06:39:12Z","timestamp":1765348752707,"version":"3.46.0"},"reference-count":25,"publisher":"Frontiers Media SA","license":[{"start":{"date-parts":[[2025,12,10]],"date-time":"2025-12-10T00:00:00Z","timestamp":1765324800000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by\/4.0\/"}],"content-domain":{"domain":["frontiersin.org"],"crossmark-restriction":true},"short-container-title":["Front. Public Health"],"abstract":"<jats:sec>\n                    <jats:title>Background<\/jats:title>\n                    <jats:p>As of 2024, an estimated 40.8 million people worldwide were living with HIV, making HIV\/AIDS one of the most pressing global public health challenges. Accurate identification of the factors shaping the HIV\/AIDS epidemic is essential for developing targeted prevention and control strategies.<\/jats:p>\n                  <\/jats:sec>\n                  <jats:sec>\n                    <jats:title>Methods<\/jats:title>\n                    <jats:p>This study uses Principal Component Analysis (PCA) and Geographically Weighted Regression (GWR) to examine spatially varying associations between HIV\/AIDS prevalence and three domains\u2014socioeconomic conditions, educational attainment, and healthcare capacity\u2014using Kunming, China, as a case study.<\/jats:p>\n                  <\/jats:sec>\n                  <jats:sec>\n                    <jats:title>Results<\/jats:title>\n                    <jats:p>The results indicate that: (1) the effects of socioeconomic conditions, educational attainment, and healthcare capacity on HIV\/AIDS prevalence exhibit significant spatial heterogeneity across Kunming; (2) in the northern part of Kunming\u2014particularly Dongchuan District, Luquan County, Xundian County, and Fumin County\u2014higher prevalence is largely associated with the combined influence of lower economic development and limited educational attainment, with economic development negatively correlated with prevalence and lower educational levels positively correlated with infection rates; and (3) HIV\/AIDS prevalence is also related to the level of healthcare services, which is generally negatively correlated with prevalence\u2014i.e., better healthcare conditions are associated with lower infection rates\u2014although areas with more advanced healthcare systems may show higher detection and reporting.<\/jats:p>\n                  <\/jats:sec>\n                  <jats:sec>\n                    <jats:title>Conclusion<\/jats:title>\n                    <jats:p>The AIDS epidemic results from the interplay of multiple factors, with dominant determinants varying geographically. These findings provide spatially explicit evidence to guide targeted policy development and resource allocation.<\/jats:p>\n                  <\/jats:sec>","DOI":"10.3389\/fpubh.2025.1658700","type":"journal-article","created":{"date-parts":[[2025,12,10]],"date-time":"2025-12-10T06:36:06Z","timestamp":1765348566000},"update-policy":"https:\/\/doi.org\/10.3389\/crossmark-policy","source":"Crossref","is-referenced-by-count":0,"title":["Analysis of influencing factors of AIDS epidemic in Kunming based on PCA-GWR method"],"prefix":"10.3389","volume":"13","author":[{"given":"LiangTing","family":"Zheng","sequence":"first","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Bin","family":"Liao","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Yi","family":"Li","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Jun","family":"Lian","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Jingying","family":"Wang","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Yanli","family":"Ma","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Ruilin","family":"Feng","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Wenying","family":"Hu","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Xianfu","family":"Bai","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"1965","published-online":{"date-parts":[[2025,12,10]]},"reference":[{"key":"ref1","article-title":"Latest global and regional statistics on the status of the AIDS epidemic","year":"2024"},{"key":"ref2","first-page":"1","article-title":"20 years of AIDS epidemic in Yunnan province","volume":"34","author":"Lu","year":"2013","journal-title":"J Kunming Med Univ"},{"key":"ref3","doi-asserted-by":"publisher","first-page":"e0308167","DOI":"10.1371\/journal.pone.0308167","article-title":"Trend, spatial distribution, and factors associated with HIV testing uptake among pregnant women in Ethiopia, based on 2005-2016 Ethiopia demographic and health survey: a multivariate decomposition analysis and geographically weighted regression","volume":"19","author":"Andargie","year":"2024","journal-title":"PLoS One"},{"key":"ref4","doi-asserted-by":"publisher","first-page":"e51172","DOI":"10.2196\/51172","article-title":"Spatiotemporal pattern and its determinants for newly reported HIV\/AIDS among older adults in eastern China from 2004 to 2021: retrospective analysis study","volume":"10","author":"Huang","year":"2024","journal-title":"JMIR Public Health Surveill"},{"key":"ref5","doi-asserted-by":"publisher","first-page":"e19528","DOI":"10.1016\/j.heliyon.2023.e19528","article-title":"Characterization of spatial and temporal transmission of HIV infection in Surabaya, Indonesia: geographic information system (GIS) cluster detection analysis (2016-2020)","volume":"9","author":"Khairunisa","year":"2023","journal-title":"Heliyon"},{"key":"ref6","doi-asserted-by":"publisher","first-page":"e56229","DOI":"10.2196\/56229","article-title":"Spatiotemporal analysis of HIV\/AIDS incidence in China from 2009 to 2019 and its association with socioeconomic factors: geospatial study","volume":"10","author":"Xie","year":"2024","journal-title":"JMIR Public Health Surveill"},{"key":"ref7","doi-asserted-by":"publisher","first-page":"e20190235","DOI":"10.1590\/1980-265x-tce-2019-0235","article-title":"Influence of the social determinants on the incidence of Aids in Piau\u00ed: an ecological study","volume":"29","author":"Maranh\u00e3o","year":"2020","journal-title":"Texto Contexto - 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