Cherie Blair MD, PhD
Cherie Blair MD, PhD is an Assistant Clinical Professor of Medicine at the David Geffen School of Medicine at UCLA, where she specializes in Infectious Diseases. She went to medical school at the David Geffen School of Medicine at UCLA and completed her residency in Internal Medicine and fellowship training in Infectious Diseases at UCLA. During her fellowship training, she participated in the UCLA STAR program where she obtained a PhD in Health Policy and Management from the UCLA Fielding School of Public Health. Her interests include sexually transmitted infections, HIV prevention, substance use, and public health. Currently, her research is primarily focused on the impacts of substance use and sexually transmitted infections on systemic and mucosal inflammation. She is a clinical provider at the UCLA CARE Center, where she focuses on the prevention and treatment of HIV and other STIs.
Contact email: CherieBlair@mednet.ucla.edu
FEATURED PUBLICATIONS:
1. Harris, C. L., Blair, C. S., Segura, E. R., Gutiérrez, J., Lake, J. E., Cabello, R., & Clark, J. L. (2024). Sexual network characteristics, condomless anal intercourse, and the HIV care cascade among MSM living with controlled versus uncontrolled HIV infection in Lima, Peru: a population-based cross-sectional analysis. Lancet regional health. Americas, 32, 100722. https://doi.org/10.1016/j.lana.2024.100722
2. Temelkovska, T., Moriarty, K., Huerta, L., Perez-Brumer, A., Segura, E., Passaro, R. C., Lake, J. E., Clark, J., & Blair, C. (2023). Social Networks Play a Complex Role in HIV Prevention Knowledge, Attitudes, Practices, and the Uptake of PrEP Through Transgender Women Communities Centered Around Three “Casas Trans” in Lima, Peru: A Qualitative Study. Journal of the International Association of Providers of AIDS Care, 22, 23259582231196705. https://doi.org/10.1177/23259582231196705
3. Blair, C. S., Javanbakht, M., Comulada, W. S., Bolan, R., Shoptaw, S., Gorbach, P. M., & Needleman, J. (2023). Comparing Factors Associated with Increased Stimulant Use in Relation to HIV Status Using a Machine Learning and Prediction Modeling Approach. Prevention science : the official journal of the Society for Prevention Research, 24(6), 1102–1114. https://doi.org/10.1007/s11121-023-01561-x