Open AccessRapid Testing Algorithm Performance in a Low-Prevalence Environment
Author(s) -
Eugene Martin,
Julia Kang Cornett,
Debbie Y. Mohammed,
Gratian Salaru
Publication year - 2020
Publication title -
sexually transmitted diseases
Language(s) - Uncategorized
Resource type - Journals
SCImago Journal Rank - 1.507
H-Index - 105
eISSN - 1537-4521
pISSN - 0148-5717
DOI - 10.1097/olq.0000000000001138
Subject(s) - medicine , viral load , false positive paradox , human immunodeficiency virus (hiv) , referral , immunology , algorithm , family medicine , machine learning , computer science
The performance of a statewide HIV rapid test algorithm (RTA) in a low-prevalence setting (0.71%) was examined for 3 years.