Showing results (21-30 of 112) with videos related to

Sort By:
Pageof 12
BMJ Open|December 12, 2023
Patterns and predictors of racial/ethnic disparities in HIV care continuum in the Southern USA: protocol for a population-based cohort studyXueying Yang, Jiajia Zhang, Bankole Olatosi, et al.
Annals of Epidemiology|November 27, 2025
Impact of integrase strand transfer inhibitors on cardiovascular disease in people with HIVBuwei He, Bankole Olatosi, Jiajia Zhang, et al.
Public Health in Practice (Oxford, England)|October 23, 2025
Disparities in cardiovascular disease prevalence among people living with HIV in South Carolina from 2005 to 2020Haoyuan Gao, Junxiu Liu, Xueying Yang, et al.
Journal of Acquired Immune Deficiency Syndromes (1999)|February 4, 2026
Long COVID Between People With and Without HIV: a Statewide Cohort AnalysisFanghui Shi, Huiyi Xia, Xiaoming Li, et al.
AIDS Care|November 11, 2020
Comorbidity patterns among people living with HIV: a hierarchical clustering approach through integrated electronic health records data in South CarolinaXueying Yang, Jiajia Zhang, Shujie Chen, et al.
AIDS and Behavior|August 1, 2023
The Impacts of HIV-Related Service Interruptions During the COVID-19 Pandemic: Protocol of a Mixed Methodology Longitudinal StudyShan Qiao, Jiajia Zhang, Zhenlong Li, et al.
AIDS (London, England)|April 19, 2021
Using a machine learning approach to explore predictors of healthcare visits as missed opportunities for HIV diagnosisSharon Weissman, Xueying Yang, Jiajia Zhang, et al.
AIDS and Behavior|May 29, 2023
Facilitators of Organizational Resilience Within South Carolina AIDS Service Organizations: Lessons Learned from the COVID-19 PandemicShan Qiao, Callie Shirley, Camryn Garrett, et al.
AIDS (London, England)|February 1, 2023
The impact of COVID-19 pandemic on the dynamic HIV care engagement among people with HIV: real-world evidenceXueying Yang, Jiajia Zhang, Shujie Chen, et al.
AIDS (London, England)|April 19, 2021
Utilizing electronic health record data to understand comorbidity burden among people living with HIV: a machine learning approachXueying Yang, Jiajia Zhang, Shujie Chen, et al.
Pageof 12