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Cross-Sectional HIV Incidence Estimation in HIV Prevention Research
Journal of Acquired Immune Deficiency Syndromes (2013)
  • Ron Brookmeyer, University of California, Los Angeles
  • Oliver Laeyendecker
  • Deborah Donnell, University of Washington - Seattle Campus
  • Susan H Eshleman, Johns Hopkins University

Accurate methods for estimating HIV incidence from cross-sectional samples would have great utility in prevention research. This report describes recent improvements in cross-sectional methods that significantly improve their accuracy. These improvements are based on the use of multiple biomarkers to identify recent HIV infections. These multiassay algorithms (MAAs) use assays in a hierarchical approach for testing that minimizes the effort and cost of incidence estimation. These MAAs do not require mathematical adjustments for accurate estimation of the incidence rates in study populations in the year before sample collection. MAAs provide a practical, accurate, and cost-effective approach for cross-sectional HIV incidence estimation that can be used for HIV prevention research and global epidemic monitoring.

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Citation Information
Ron Brookmeyer, Oliver Laeyendecker, Deborah Donnell and Susan H Eshleman. "Cross-Sectional HIV Incidence Estimation in HIV Prevention Research" Journal of Acquired Immune Deficiency Syndromes Vol. 63 (2013)
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