HIVTrends.org is a product of the San Diego Center for AIDS Research's Artificial Intelligence Scientific Working Group in collaboration with Johns Hopkins University, the Qualcomm Institute and Altman Clinical and Translational Research Institute, both at UC San Diego.

The development of HIVTrends.org is described in an accompanying research article entitled "HIVTrends.org: Public, Real-Time, and Validated HIV Testing Sales Trends from Search Query Surveillance," available here.

The research team behind the creation of HIVTrends.org includes scientists and clinicians working at the intersection of artificial intelligence, computer science, data science, epidemiology, and medicine. The core team included (listed alphabetically):

• Mathew R. Allen B.S., Medical Student, UC San Diego
• John W. Ayers Ph.D., M.A., San Diego CFAR AI Scientific Working Group, Assoc. Professor, UC San Diego, Deputy Director of Informatics, Altman Clinical Translational Research Institute, Scientist, the Qualcomm Institute
• Karan Desai B.S., Medical Student, University of Michigan
• Nimit Desai B.S., Medical Student, UC San Diego
• Mark Dredze Ph.D., John C. Malone Professor, Johns Hopkins University
• Ravi Goyal Ph.D., San Diego CFAR AI Scientific Working Group, Assistant Professor, UC San Diego
• Mike Hogarth M.D., Professor, UC San Diego, Director of Informatics, Altman Clinical Translational Research Institute
• Davey M. Smith M.D., M.A.S., San Diego CFAR AI Scientific Working Group, Professor, UC San Diego, Director, Altman Clinical Translational Research Institute
• Vin Somasundaram B.S., Medical Student, Brown University
• Vijay M. Tiyyala M.S.E., Fellow, Johns Hopkins University
• Nadir Weibel Ph.D., San Diego CFAR AI Scientific Working Group, Professor, UC San Diego
• Atharva Yeola B.S., Graduate Student, UC San Diego, Research Intern, the Qualcomm Institute at UC San Diego