| Title |
Challenges of Diagnosing Acute HIV-1 Subtype C Infection in African Women: Performance of a Clinical Algorithm and the Need for Point-of-Care Nucleic-Acid Based Testing
|
|---|---|
| Published in |
PLOS ONE, April 2013
|
| DOI | 10.1371/journal.pone.0062928 |
| Pubmed ID | |
| Authors |
Koleka Mlisana, Magdalena Sobieszczyk, Lise Werner, Addi Feinstein, Francois van Loggerenberg, Nivashnee Naicker, Carolyn Williamson, Nigel Garrett |
| Abstract |
Prompt diagnosis of acute HIV infection (AHI) benefits the individual and provides opportunities for public health intervention. The aim of this study was to describe most common signs and symptoms of AHI, correlate these with early disease progression and develop a clinical algorithm to identify acute HIV cases in resource limited setting. |
X Demographics
The data shown below were collected from the profiles of 9 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 | 22% |
| Kenya | 1 | 11% |
| South Africa | 1 | 11% |
| Argentina | 1 | 11% |
| Unknown | 4 | 44% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 5 | 56% |
| Practitioners (doctors, other healthcare professionals) | 2 | 22% |
| Science communicators (journalists, bloggers, editors) | 2 | 22% |
Mendeley readers
The data shown below were compiled from readership statistics for 58 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United States | 1 | 2% |
| South Africa | 1 | 2% |
| Unknown | 56 | 97% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 13 | 22% |
| Student > Master | 11 | 19% |
| Student > Ph. D. Student | 4 | 7% |
| Student > Doctoral Student | 4 | 7% |
| Student > Bachelor | 4 | 7% |
| Other | 11 | 19% |
| Unknown | 11 | 19% |
| Readers by discipline | Count | As % |
|---|---|---|
| Medicine and Dentistry | 11 | 19% |
| Social Sciences | 8 | 14% |
| Agricultural and Biological Sciences | 6 | 10% |
| Biochemistry, Genetics and Molecular Biology | 5 | 9% |
| Nursing and Health Professions | 5 | 9% |
| Other | 8 | 14% |
| Unknown | 15 | 26% |