Seroconverting blood donors as a resource for characterising and optimising recent infection testing algorithms for incidence estimation

PLoS ONE

Volumn 6, Issue 6, 2011, Pages

  Kassanjee, Reshma ^a,b   Welte, Alex ^a   McWalter, Thomas A ^a,b   Keating, Sheila M ^c   Vermeulen, Marion ^d   Stramer, Susan L ^e   Busch, Michael P ^c  

^a STELLENBOSCH UNIVERSITY   (South Africa)

^b UNIVERSITY OF THE WITWATERSRAND   (South Africa)

^c BLOOD SYSTEMS RESEARCH INSTITUTE   (United States)

^d SOUTH AFRICAN NATIONAL BLOOD SERVICE   (South Africa)

^e Scientific Support Office   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

BIOLOGICAL MARKER;

ACCURACY; ALGORITHM; ARTICLE; BLOOD DONOR; CLADISTICS; CLASSIFICATION; COHORT ANALYSIS; CONTROLLED STUDY; GENDER; HUMAN; INCIDENCE; INFECTION; POPULATION RESEARCH; RECENT INFECTION TESTING ALGORITHM; SEROCONVERSION; SOUTH AFRICA; STATISTICAL MODEL; FEMALE; HUMAN IMMUNODEFICIENCY VIRUS INFECTION; IMMUNOASSAY; MALE;

ALGORITHMS; BLOOD DONORS; FEMALE; HIV SEROPOSITIVITY; HUMANS; IMMUNOASSAY; INCIDENCE; MALE; SOUTH AFRICA;

EID: 79958268565     PISSN: None     EISSN: 19326203     Source Type: Journal    
DOI: 10.1371/journal.pone.0020027     Document Type: Article

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