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Research Article

Effectiveness and Cost Effectiveness of Expanding Harm Reduction and Antiretroviral Therapy in a Mixed HIV Epidemic: A Modeling Analysis for Ukraine

  • Sabina S. Alistar mail,

    sabina-alistar@stanfordalumni.org

    Affiliation: Department of Management Science and Engineering, Stanford University, Stanford, California, United States of America

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  • Douglas K. Owens,

    Affiliations: Veterans Affairs Palo Alto Health Care System, Palo Alto, California, United States of America, Center for Health Policy and the Center for Primary Care and Outcomes Research, Stanford University, Stanford, California, United States of America

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  • Margaret L. Brandeau

    Affiliation: Department of Management Science and Engineering, Stanford University, Stanford, California, United States of America

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  • Published: March 01, 2011
  • DOI: 10.1371/journal.pmed.1000423

About the Authors

Sabina S. Alistar, Margaret L. Brandeau
Department of Management Science and Engineering, Stanford University, Stanford, California, United States of America
Douglas K. Owens
Veterans Affairs Palo Alto Health Care System, Palo Alto, California, United States of America
Douglas K. Owens
Center for Health Policy and the Center for Primary Care and Outcomes Research, Stanford University, Stanford, California, United States of America

Corresponding Author

Email: sabina-alistar@stanfordalumni.org

Competing Interests

DKO received an honorarium from Quintiles to prepare a continuing medical education lecture about HIV screening. No other competing interests have been declared.

Author Contributions

ICMJE criteria for authorship read and met: SSA DKO MLB. Agree with the manuscript's results and conclusions: SSA DKO MLB. Designed the experiments/the study: SSA DKO MLB. Analyzed the data: SSA. Wrote the first draft of the paper: SSA. Contributed to the writing of the paper: SSA DKO MLB. Designed the model and identified/collected the parameters for the model: SSA. Helped conceptualize the design of the analysis: DKO. Helped define the research topic and develop the modeling methodology: MLB.