Open AccessImproved detection of acute HIV-1 infection in sub-Saharan Africa: development of a risk score algorithm
Author(s) -
Kimberly A. Powers,
William C. Miller,
Christopher D. Pilcher,
Clement Mapanje,
Francis Martinson,
Susan A. Fiscus,
David Chilongozi,
David Namakhwa,
Matt A. Price,
Shan Galvin,
Irving Hoffman,
Myron S. Cohen
Publication year - 2007
Publication title -
aids
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 2.195
H-Index - 216
eISSN - 1473-5571
pISSN - 0269-9370
DOI - 10.1097/qad.0b013e3282f08b4d
Subject(s) - medicine , diarrhea , logistic regression , algorithm , nucleic acid test , disease , human immunodeficiency virus (hiv) , genital ulcer , immunology , sexually transmitted disease , syphilis , infectious disease (medical specialty) , covid-19 , computer science
Individuals with acute (preseroconversion) HIV infection (AHI) are important in the spread of HIV. The identification of AHI requires the detection of viral proteins or nucleic acids with techniques that are often unaffordable for routine use. To facilitate the efficient use of these tests, we sought to develop a risk score algorithm for identifying likely AHI cases and targeting the tests towards those individuals.
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