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

Qiyu Zhu   ^{1, 2 *} , MPH ;   Chunnong Jike   ^{3 *} , MD ;   Chengdong Xu   ^{4 *} , PhD ;   Shu Liang   ^{5 *} , PhD ;   Gang Yu   ³ , MD ;   Dan Yuan   ⁵ , MSc ;   Hong Mai   ⁶ , MD ;   Yiping Li   ⁵ , MD ;   Lin Xiao   ³ , MD ;   Ju Wang   ³ , MSc ;   Hong Yang   ⁵ , MSc ;   Fengshun Yuan   ⁵ , PhD ;   Jing Hong   ³ , MD ;   Muga Mao   ³ , MD ;   Maogang Shen   ³ , MD ;   Jing Liu   ¹ , MSc ;   Lin He   ¹ , PhD ;   Yuehua Wang   ¹ , PhD ;   Huanyi Cheng   ¹ , BA ;   Peng Guan   ² , PhD ;   Yan Jiang   ¹ , PhD ;   Mengjie Han   ¹ , MPH ;   Cong Jin   ¹ , PhD ;   Zhongfu Liu   ¹ , PhD

¹ National Key Laboratory of Intelligent Tracking and Forecasting for Infectious Diseases, National Center for AIDS/STD Control and Prevention, Chinese Center for Disease Control and Prevention, Beijing, China

² China Medical University, Shenyang, China

³ Liangshan Prefecture Center for Disease Control and Prevention, Xichang, China

⁴ Institute of Geographic Sciences and Natural Resources Research, Chinese Academy of Sciences, Beijing, China

⁵ Sichuan Provincial Center for Disease Control and Prevention, Chengdu, China

⁶ The First People's Hospital of Yi Autonomous Prefecture of Liangshan, Xichang, China

*these authors contributed equally