Identifying the Factors Associated With Spatial Clustering of Incident HIV Infection Cases in High-Prevalence Regions: Quantitative Geospatial Study

This study reveals that besides HIV prevalence, urbanization-related factors (population density and proximity to urban area) and transportation accessibility drive incident HIV clustering in Liangshan Yi Autonomous Prefecture. Paradoxically, higher ART coverage was associated with increased transmission, suggesting the need for integrated prevention strategies beyond ART expansion. Furthermore, the township-level geospatial approach provides a valuable model for pinpointing transmission hot spots and tailoring interventions in high-burden regions globally.

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Publication Details

Journal
JMIR Public Health and Surveillance
Published
2025-09-16
DOI
https://doi.org/10.2196/75291
Citations
1
Primary Topic
HIV, Drug Use, Sexual Risk
Type
article
Field-Weighted Citation Impact
1.35
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article

Identifying the Factors Associated With Spatial Clustering of Incident HIV Infection Cases in High-Prevalence Regions: Quantitative Geospatial Study

Y Y Wang, Chunnong Jike, Dan Yuan, Shu Liang et al.
1 citations
JMIR Public Health and Surveillance
HIV, Drug Use, Sexual Risk
1.35
article

Identifying the Factors Associated With Spatial Clustering of Incident HIV Infection Cases in High-Prevalence Regions: Quantitative Geospatial Study

Y Y Wang, Chunnong Jike, Dan Yuan, Shu Liang, Yiping Li, Peng Guan, Mengjie Han, Fengshun Yuan, Maogang Shen, Huanyi Cheng, Hong Yang, Qiyu Zhu, Zhongfu Liu, Chengdong Xu, Hong Mai, Jiang Yan, Cong Jin, Yu Gang, Jing Liu, Wang Ju, Lin Xiao, Jing Hong, Lin He, M. Mao
article en
1 citations

Abstract

This study reveals that besides HIV prevalence, urbanization-related factors (population density and proximity to urban area) and transportation accessibility drive incident HIV clustering in Liangshan Yi Autonomous Prefecture. Paradoxically, higher ART coverage was associated with increased transmission, suggesting the need for integrated prevention strategies beyond ART expansion. Furthermore, the township-level geospatial approach provides a valuable model for pinpointing transmission hot spots and tailoring interventions in high-burden regions globally.

JMIR Public Health and SurveillanceVol. 11
Chinese Academy of Sciences (CN), Xiangshan County First People's Hospital (CN), Institute of Geographic Sciences and Natural Resources Research (CN), Sichuan Center for Disease Control and Prevention (CN), China Medical University (CN)
Openalex Percentile: Top 16%
HIV, Drug Use, Sexual Risk
1.35
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