Title |
HPTN 071 (PopART): A Cluster-Randomized Trial of the Population Impact of an HIV Combination Prevention Intervention Including Universal Testing and Treatment: Mathematical Model
|
---|---|
Published in |
PLOS ONE, January 2014
|
DOI | 10.1371/journal.pone.0084511 |
Pubmed ID | |
Authors |
Anne Cori, Helen Ayles, Nulda Beyers, Ab Schaap, Sian Floyd, Kalpana Sabapathy, Jeffrey W. Eaton, Katharina Hauck, Peter Smith, Sam Griffith, Ayana Moore, Deborah Donnell, Sten H. Vermund, Sarah Fidler, Richard Hayes, Christophe Fraser |
Abstract |
The HPTN 052 trial confirmed that antiretroviral therapy (ART) can nearly eliminate HIV transmission from successfully treated HIV-infected individuals within couples. Here, we present the mathematical modeling used to inform the design and monitoring of a new trial aiming to test whether widespread provision of ART is feasible and can substantially reduce population-level HIV incidence. |
X Demographics
The data shown below were collected from the profiles of 4 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 Kingdom | 1 | 25% |
United States | 1 | 25% |
Unknown | 2 | 50% |
Demographic breakdown
Type | Count | As % |
---|---|---|
Members of the public | 3 | 75% |
Scientists | 1 | 25% |
Mendeley readers
The data shown below were compiled from readership statistics for 261 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
Country | Count | As % |
---|---|---|
United Kingdom | 3 | 1% |
South Africa | 2 | <1% |
Indonesia | 1 | <1% |
Tanzania, United Republic of | 1 | <1% |
Malaysia | 1 | <1% |
United States | 1 | <1% |
Unknown | 252 | 97% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Student > Master | 51 | 20% |
Researcher | 48 | 18% |
Student > Ph. D. Student | 47 | 18% |
Student > Bachelor | 14 | 5% |
Student > Doctoral Student | 13 | 5% |
Other | 54 | 21% |
Unknown | 34 | 13% |
Readers by discipline | Count | As % |
---|---|---|
Medicine and Dentistry | 84 | 32% |
Social Sciences | 30 | 11% |
Nursing and Health Professions | 19 | 7% |
Mathematics | 13 | 5% |
Agricultural and Biological Sciences | 12 | 5% |
Other | 47 | 18% |
Unknown | 56 | 21% |