| Title |
Development of Methods for Cross-Sectional HIV Incidence Estimation in a Large, Community Randomized Trial
|
|---|---|
| Published in |
PLOS ONE, November 2013
|
| DOI | 10.1371/journal.pone.0078818 |
| Pubmed ID | |
| Authors |
Oliver Laeyendecker, Michal Kulich, Deborah Donnell, Arnošt Komárek, Marek Omelka, Caroline E. Mullis, Greg Szekeres, Estelle Piwowar-Manning, Agnes Fiamma, Ronald H. Gray, Tom Lutalo, Charles S. Morrison, Robert A. Salata, Tsungai Chipato, Connie Celum, Erin M. Kahle, Taha E. Taha, Newton I. Kumwenda, Quarraisha Abdool Karim, Vivek Naranbhai, Jairam R. Lingappa, Michael D. Sweat, Thomas Coates, Susan H. Eshleman |
| Abstract |
Accurate methods of HIV incidence determination are critically needed to monitor the epidemic and determine the population level impact of prevention trials. One such trial, Project Accept, a Phase III, community-randomized trial, evaluated the impact of enhanced, community-based voluntary counseling and testing on population-level HIV incidence. The primary endpoint of the trial was based on a single, cross-sectional, post-intervention HIV incidence assessment. |
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.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United States | 1 | 100% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 1 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 73 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| South Africa | 1 | 1% |
| United Kingdom | 1 | 1% |
| Argentina | 1 | 1% |
| Belgium | 1 | 1% |
| United States | 1 | 1% |
| Unknown | 68 | 93% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 18 | 25% |
| Student > Ph. D. Student | 11 | 15% |
| Student > Master | 9 | 12% |
| Professor | 7 | 10% |
| Other | 5 | 7% |
| Other | 9 | 12% |
| Unknown | 14 | 19% |
| Readers by discipline | Count | As % |
|---|---|---|
| Medicine and Dentistry | 20 | 27% |
| Social Sciences | 8 | 11% |
| Nursing and Health Professions | 7 | 10% |
| Agricultural and Biological Sciences | 5 | 7% |
| Economics, Econometrics and Finance | 5 | 7% |
| Other | 9 | 12% |
| Unknown | 19 | 26% |