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Daniel C. Barth-Jones

Assistant Professor of Clinical of Epidemiology

Daniel Barth-Jones, PHD, MPH, is an infectious disease epidemiologist who specializes in computer simulation of the transmission and public health control of HIV and other infectious disease epidemics. His primary research interests include the epidemiology of HIV and sexually transmitted diseases, theoretical population vaccinology, Phase III HIV vaccine trial design, and health economic evaluations of public health policies for vaccination and preventative intervention programs. His research on HIV vaccine modeling and HIV vaccination strategy/policy development has been sponsored by the U.S. Centers for Disease Control (CDC), the International AIDS Vaccine Initiative (IAVI), the Joint United Nations Program on HIV/AIDS (UNAIDS), and the World Health Organization (WHO). Dr. Barth-Jones has conducted research in collaboration with the Ministries of Health in China, Brazil, Peru, Kenya, and Thailand, and he has been a frequent scientific advisor to WHO, UNAIDS, and IAVI. Dr. Barth-Jones is also a nationally recognized expert in the area of statistical disclosure analysis and control, where his work focuses on the development of statistical and geospatial disclosure control methodologies to help assure the confidentiality and privacy of healthcare data in compliance with the HIPAA Privacy Rule. He has given scientific presentations and conducted educational training on HIPAA Privacy regulations to numerous healthcare information organizations, healthcare delivery organizations, state and federal agencies and organizations, and within academia.
Education & Training:

    PhD, 1999, University of Michigan

    MPH, 1988, University of Michigan

    WHO/UNAIDS Cost Effectiveness and Delivery Study for Future HIV Vaccines
    Under the auspices of WHO/UNAIDS, research teams from five countries have initiated a study of HIV vaccine delivery costs and associated computer simulation modeling analyzing the relative cost-effectiveness of potential vaccination strategies for future HIV vaccination programs. The study will provide public health policy makers and planners with modeling data on vaccination policy considerations that will assist in developing country-level capacities for future HIV vaccine policy adoption and effective delivery systems, and will help delineate the long-term financial requirements for sustainable HIV vaccination programs. The study has three main parts: (1) a survey on vaccine delivery to assess challenges and opportunities for country-level capacity to deliver potential future HIV vaccines; (2) the collection of cost data associated with HIV vaccination and AIDS treatment; and (3) a computer simulation modeling analyzing the relative cost-effectiveness of potential HIV vaccination strategies. HIV VaccSim is the computer simulation application (created by Dr. Barth-Jones and colleagues Ira Longini and Lynnette Essemacher) used to model the potential population-level epidemiologic impacts for future HIV vaccines for this project.
    Countries: Brazil;Kenya;Peru;Thailand

Selected Publications:
  • Ying, H., Lin, F., MacArthur, R., Cohn J., Barth-Jones D., Ye, H., Crane, L. A self-learning fuzzy discrete event system for HIV/AIDS treatment regimen selection IEEE Trans Syst Man Cybern B Cybern 37(4) 966-79 2007
  • Barth-Jones, D., Chang M-L., Cheng, H., Esparza, J., Kang, L.Y., Kenya, P., Mosquiera, R., Osmanov, S., Portela, M.C., Tangcharoensathien, V., Akaleephan, C., Supantamart, S. Avrett, S., Fernando de M Cost effectiveness and delivery study for future HIV vaccines AIDS 19(13) w1-6 2005
  • Essenmacher, L., Odom, D., Barth-Jones, D. Modeling the Population-Level Impact of an HIV Microbicide in a Generalized HIV Epidemic with a Pair-Formation Sexual Partnership Model Proceedings of the International Conference on Health Sciences Simulation 82-90 2005
  • Truta, T., Fotouhi, F., Barth-Jones, D. Disclosure Risk Measures for Sampling Disclosure Control Methods Proceedings of ACM Symposium on Applied Computing 301-06 2004
  • Barth-Jones, D., Longini, I. Determining optimal vaccination policy for HIV vaccines: A dynamic simulation model for the evaluation of vaccination policy Proceedings of the International Conference on Health Sciences Simulation 63-79 2002
  • Chick, S, Barth-Jones, D., Koopman, J. Bias reduction for risk ratios and vaccine effect estimators Statistics in Medicine 20(11) 1609-24 2001
  • Barth-Jones, D., Adams, A., Koopman, J. Monte-Carlo simulation experiments for analysis of HIV vaccine effects and vaccine trial design Proceedings of the Winter Simulation Conference 1985-94 2000
  • Adams, A., Barth-Jones, D., Chick, S. Koopman, J. Simulations to evaluated HIV vaccine trial methods Simulation 71(4) 228-41 1998
  • Koopman, J., Jacquez, J., Welch, G., Simon, C., Foxman, B., Pollack, S., Barth-Jones, D., Adams, A., Lange, K. The role of early HIV infection in the spread of HIV through populations Journal of Acquired Immunodeficiency Syndromes and Human Retrovirology 14 249-258 1997
  • Strandburg, K., Raicu, D. Privacy and Technologies of Identity:A Cross-Disciplinary Conversation Springer Science New York, NY 349-63 2006

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