| Title |
The Origin and Evolutionary History of HIV-1 Subtype C in Senegal
|
|---|---|
| Published in |
PLOS ONE, March 2012
|
| DOI | 10.1371/journal.pone.0033579 |
| Pubmed ID | |
| Authors |
Matthieu Jung, Nafissatou Leye, Nicole Vidal, Denis Fargette, Halimatou Diop, Coumba Toure Kane, Olivier Gascuel, Martine Peeters |
| Abstract |
The classification of HIV-1 strains in subtypes and Circulating Recombinant Forms (CRFs) has helped in tracking the course of the HIV pandemic. In Senegal, which is located at the tip of West Africa, CRF02_AG predominates in the general population and Female Sex Workers (FSWs). In contrast, 40% of Men having Sex with Men (MSM) in Senegal are infected with subtype C. In this study we analyzed the geographical origins and introduction dates of HIV-1 C in Senegal in order to better understand the evolutionary history of this subtype, which predominates today in the MSM population |
X Demographics
The data shown below were collected from the profiles of 2 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Canada | 1 | 50% |
| United States | 1 | 50% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 2 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 63 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Brazil | 2 | 3% |
| France | 1 | 2% |
| Cameroon | 1 | 2% |
| Tanzania, United Republic of | 1 | 2% |
| South Africa | 1 | 2% |
| Argentina | 1 | 2% |
| Belgium | 1 | 2% |
| United States | 1 | 2% |
| Unknown | 54 | 86% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 12 | 19% |
| Researcher | 12 | 19% |
| Student > Doctoral Student | 7 | 11% |
| Student > Bachelor | 7 | 11% |
| Student > Master | 6 | 10% |
| Other | 10 | 16% |
| Unknown | 9 | 14% |
| Readers by discipline | Count | As % |
|---|---|---|
| Agricultural and Biological Sciences | 14 | 22% |
| Medicine and Dentistry | 12 | 19% |
| Biochemistry, Genetics and Molecular Biology | 6 | 10% |
| Social Sciences | 6 | 10% |
| Computer Science | 5 | 8% |
| Other | 9 | 14% |
| Unknown | 11 | 17% |