%0 Journal Article
%T Seroconverting Blood Donors as a Resource for Characterising and Optimising Recent Infection Testing Algorithms for Incidence Estimation
%A Reshma Kassanjee
%A Alex Welte
%A Thomas A. McWalter
%A Sheila M. Keating
%A Marion Vermeulen
%A Susan L. Stramer
%A Michael P. Busch
%J PLOS ONE
%D 2012
%I Public Library of Science (PLoS)
%R 10.1371/journal.pone.0020027
%X Biomarker-based cross-sectional incidence estimation requires a Recent Infection Testing Algorithm (RITA) with an adequately large mean recency duration, to achieve reasonable survey counts, and a low false-recent rate, to minimise exposure to further bias and imprecision. Estimating these characteristics requires specimens from individuals with well-known seroconversion dates or confirmed long-standing infection. Specimens with well-known seroconversion dates are typically rare and precious, presenting a bottleneck in the development of RITAs.
%U http://www.plosone.org/article/info%3Adoi%2F10.1371%2Fjournal.pone.0020027