
Identification and validation of a multi-assay algorithm for cross-sectional HIV incidence estimation in populations with subtype C infection:
Author(s) -
O. Laeyendecker,
J. Konikoff,
D.E. Morrison,
R. Brookmeyer,
J. Wang,
C. Celum,
C.S. Morrison,
Quarraisha Abdool Karim,
A.E. Pettifor,
S.H. Eshleman
Publication year - 2018
Publication title -
carolina digital repository (university of north carolina at chapel hill)
Language(s) - English
DOI - 10.17615/46x9-nz50
Subject(s) - human immunodeficiency virus (hiv) , incidence (geometry) , identification (biology) , cross sectional study , medicine , estimation , algorithm , virology , biology , computer science , mathematics , pathology , engineering , botany , geometry , systems engineering