Evaluation of the False Recent Classification Rates of Multiassay Algorithms in Estimating HIV Type 1 Subtype C Incidence-Reference-Cited by-同舟云学术

Evaluation of the False Recent Classification Rates of Multiassay Algorithms in Estimating HIV Type 1 Subtype C Incidence

Published:2014-01 Issue:1 Volume:30 Page:29-36
ISSN:0889-2229
Container-title:AIDS Research and Human Retroviruses
language:en
Short-container-title:AIDS Research and Human Retroviruses

Author:

Moyo Sikhulile¹²,LeCuyer Tessa¹³,Wang Rui⁴⁵,Gaseitsiwe Simani¹⁶,Weng Jia⁵,Musonda Rosemary¹⁶,Bussmann Hermann¹⁶,Mine Madisa¹⁷,Engelbrecht Susan²⁸,Makhema Joseph¹⁶,Marlink Richard¹⁶,Baum Marianna K.⁹,Novitsky Vladimir¹⁶,Essex M.¹⁶

Affiliation:

1. Botswana–Harvard AIDS Institute Partnership, Gaborone, Botswana.

2. Division of Medical Virology, University of Stellenbosch, Stellenbosch, South Africa.

3. Washington State University College of Veterinary Medicine, Pullman, Washington.

4. Department of Biostatistics, Harvard School of Public Health, Boston, Massachusetts.

5. Division of Sleep Medicine, Brigham and Women's Hospital, Boston, Massachusetts.

6. Department of Immunology and Infectious Diseases, Harvard School of Public Health AIDS Initiative, Harvard School of Public Health, Boston, Massachusetts.

7. National Health Laboratory and Botswana-Harvard HIV Reference Laboratory, Gaborone, Botswana.

8. National Health Laboratory Service, Cape Town, South Africa.

9. R. Stempel College of Public Health and Social Work, Florida International University, University Park, Miami, Florida.

Publisher

Mary Ann Liebert Inc

Subject

Infectious Diseases,Virology,Immunology

Link

http://www.liebertpub.com/doi/pdf/10.1089/aid.2013.0055

Reference43 articles.

1. The value of aids incidence data in assessing the spread of HIV infection

2. Can HIV incidence testing be used for evaluating HIV intervention programs? A reanalysis of the Orange Farm male circumcision trial (ANRS-1265)