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Published on in Vol 10 (2024)

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/53361, first published .
The Distribution and Associated Factors of HIV/AIDS Among Youths in Guangxi, China, From 2014 to 2021: Bayesian Spatiotemporal Analysis

The Distribution and Associated Factors of HIV/AIDS Among Youths in Guangxi, China, From 2014 to 2021: Bayesian Spatiotemporal Analysis

The Distribution and Associated Factors of HIV/AIDS Among Youths in Guangxi, China, From 2014 to 2021: Bayesian Spatiotemporal Analysis

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
  2. Yin X, Wang Y. Spatiotemporal trends and associated factors of HIV/AIDS, syphilis, and gonorrhea incidence in China: A Bayesian disease mapping study with spatially varying coefficients. Spatial and Spatio-temporal Epidemiology 2026;57:100795 View
  3. Wang Z, Khaleghy H, Yao Y, Chen J. Graph-aware spatio-temporal attention for forecasting HIV/AIDS case counts in public health surveillance. Frontiers in Public Health 2026;14 View

Books/Policy Documents

  1. Qin K. Global Response to HIV/AIDS - From Epidemiology to Mental Health and Clinical Management. View