This paper is in the following e-collection/theme issue:

GIS (Geographic Information Systems) Applications in Public Health and Spatial Epidemiology (142) HIV/AIDS/STI Prevention and Care (1055) Public (e)Health, Digital Epidemiology and Public Health Informatics (1033) Surveillance Systems (517) Prevention and Health Promotion (1407) Epidemiology (197)

Published on in Vol 11 (2025)

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/75291, first published .
Identifying the Factors Associated With Spatial Clustering of Incident HIV Infection Cases in High-Prevalence Regions: Quantitative Geospatial Study

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

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

Authors of this article:

Qiyu Zhu1, 2 Author Orcid Image ;   Chunnong Jike3 Author Orcid Image ;   Chengdong Xu4 Author Orcid Image ;   Shu Liang5 Author Orcid Image ;   Gang Yu3 Author Orcid Image ;   Dan Yuan5 Author Orcid Image ;   Hong Mai6 Author Orcid Image ;   Yiping Li5 Author Orcid Image ;   Lin Xiao3 Author Orcid Image ;   Ju Wang3 Author Orcid Image ;   Hong Yang5 Author Orcid Image ;   Fengshun Yuan5 Author Orcid Image ;   Jing Hong3 Author Orcid Image ;   Muga Mao3 Author Orcid Image ;   Maogang Shen3 Author Orcid Image ;   Jing Liu1 Author Orcid Image ;   Lin He1 Author Orcid Image ;   Yuehua Wang1 Author Orcid Image ;   Huanyi Cheng1 Author Orcid Image ;   Peng Guan2 Author Orcid Image ;   Yan Jiang1 Author Orcid Image ;   Mengjie Han1 Author Orcid Image ;   Cong Jin1 Author Orcid Image ;   Zhongfu Liu1 Author Orcid Image
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Journals

  1. Lin J, Xu Y, Ren Y, Shen S. Study on the spatial-temporal evolution and influencing factors of AIDS incidence in China from 2006 to 2022. BMC Infectious Diseases 2025;25(1) View