| Title |
Decreases in Community Viral Load Are Accompanied by Reductions in New HIV Infections in San Francisco
|
|---|---|
| Published in |
PLOS ONE, June 2010
|
| DOI | 10.1371/journal.pone.0011068 |
| Pubmed ID | |
| Authors |
Moupali Das, Priscilla Lee Chu, Glenn-Milo Santos, Susan Scheer, Eric Vittinghoff, Willi McFarland, Grant N. Colfax |
| Abstract |
At the individual level, higher HIV viral load predicts sexual transmission risk. We evaluated San Francisco's community viral load (CVL) as a population level marker of HIV transmission risk. We hypothesized that the decrease in CVL in San Francisco from 2004-2008, corresponding with increased rates of HIV testing, antiretroviral therapy (ART) coverage and effectiveness, and population-level virologic suppression, would be associated with a reduction in new HIV infections. |
X Demographics
The data shown below were collected from the profiles of 5 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United States | 2 | 40% |
| Spain | 1 | 20% |
| Unknown | 2 | 40% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 5 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 356 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United States | 8 | 2% |
| Kenya | 1 | <1% |
| Brazil | 1 | <1% |
| Tanzania, United Republic of | 1 | <1% |
| Taiwan | 1 | <1% |
| Canada | 1 | <1% |
| Spain | 1 | <1% |
| Thailand | 1 | <1% |
| Unknown | 341 | 96% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Master | 68 | 19% |
| Researcher | 64 | 18% |
| Student > Ph. D. Student | 56 | 16% |
| Other | 23 | 6% |
| Student > Bachelor | 19 | 5% |
| Other | 76 | 21% |
| Unknown | 50 | 14% |
| Readers by discipline | Count | As % |
|---|---|---|
| Medicine and Dentistry | 133 | 37% |
| Social Sciences | 43 | 12% |
| Agricultural and Biological Sciences | 23 | 6% |
| Nursing and Health Professions | 14 | 4% |
| Biochemistry, Genetics and Molecular Biology | 11 | 3% |
| Other | 60 | 17% |
| Unknown | 72 | 20% |