↓ Skip to main content

PLOS

A Mathematical Model of Comprehensive Test-and-Treat Services and HIV Incidence among Men Who Have Sex with Men in the United States

Overview of attention for article published in PLOS ONE, February 2012
Altmetric Badge

Mentioned by

policy
1 policy source
twitter
1 X user

Citations

dimensions_citation
75 Dimensions

Readers on

mendeley
99 Mendeley
citeulike
1 CiteULike
Title
A Mathematical Model of Comprehensive Test-and-Treat Services and HIV Incidence among Men Who Have Sex with Men in the United States
Published in
PLOS ONE, February 2012
DOI 10.1371/journal.pone.0029098
Pubmed ID
Authors

Stephen W. Sorensen, Stephanie L. Sansom, John T. Brooks, Gary Marks, Elizabeth M. Begier, Kate Buchacz, Elizabeth A. DiNenno, Jonathan H. Mermin, Peter H. Kilmarx

Abstract

Early diagnosis and treatment of HIV infection and suppression of viral load are potentially powerful interventions for reducing HIV incidence. A test-and-treat strategy may have long-term effects on the epidemic among urban men who have sex with men (MSM) in the United States and may achieve the 5-year goals of the 2010 National AIDS Strategy that include: 1) lowering to 25% the annual number of new infections, 2) reducing by 30% the HIV transmission rate, 3) increasing to 90% the proportion of persons living with HIV infection who know their HIV status, 4) increasing to 85% the proportion of newly diagnosed patients linked to clinical care, and 5) increasing by 20% the proportion of HIV-infected MSM with an undetectable HIV RNA viral load.

X Demographics

X Demographics

The data shown below were collected from the profile of 1 X user who shared this research output. Click here to find out more about how the information was compiled.
Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 99 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 5 5%
India 1 1%
Belgium 1 1%
Unknown 92 93%

Demographic breakdown

Readers by professional status Count As %
Researcher 31 31%
Student > Master 16 16%
Student > Ph. D. Student 10 10%
Professor > Associate Professor 8 8%
Other 6 6%
Other 16 16%
Unknown 12 12%
Readers by discipline Count As %
Medicine and Dentistry 29 29%
Social Sciences 13 13%
Nursing and Health Professions 7 7%
Agricultural and Biological Sciences 7 7%
Mathematics 6 6%
Other 21 21%
Unknown 16 16%