• A comparison of biomarker based incidence estimators 

      McWalter, Thomas A.; Welte, Alex (Public Library of Science (PLOS), 2009-10)
      Background: Cross-sectional surveys utilizing biomarkers that test for recent infection provide a convenient and cost effective way to estimate HIV incidence. In particular, the BED assay has been developed for this purpose. ...
    • Computational analysis of antibody dynamics identifies recent HIV-1 infection 

      Seaton, Kelly E.; Vandergrift, Nathan A.; Deal, Aaron W.; Rountree, Wes; Bainbridge, John; Grebe, Eduard; Anderson, David A.; Sawant, Sheetal; Shen, Xiaoying; Yates, Nicole L.; Denny, Thomas N.; Liao, Hua-Xin; Haynes, Barton F.; Robb, Merlin L.; Parkin, Neil; Santos, Breno R.; Garrett, Nigel; Price, Matthew A.; Naniche, Denise; Duerr, Ann C.; The CEPHIA group; Keating, Sheila; Hampton, Dylan; Facente, Shelley; Marson, Kara; Welte, Alex; Pilcher, Christopher D.; Cohen, Myron S.; Tomaras, Georgia D. (American Society for Clinical Investigation, 2018)
      Accurate HIV-1 incidence estimation is critical to the success of HIV-1 prevention strategies. Current assays are limited by high false recent rates (FRRs) in certain populations and a short mean duration of recent infection ...
    • Population-level HIV incidence estimates using a combination of synthetic cohort and recency biomarker approaches in KwaZulu-Natal, South Africa 

      Grebe, Eduard; Welte, Alex; Johnson, Leigh F.; Van Cutsem, Gilles; Adrian Puren, Adrian; Ellman, Tom; Etard, Jean-Francois; Consortium for the Evaluation and Performance of HIV Incidence Assays; Huerga, Helena (Public Library of Science, 2018-09-13)
      Introduction: There is a notable absence of consensus on how to generate estimates of population-level incidence. Incidence is a considerably more sensitive indicator of epidemiological trends than prevalence, but is harder ...