| Title |
Methods for Identifying Neisseria meningitidis Carriers: A Multi-Center Study in the African Meningitis Belt
|
|---|---|
| Published in |
PLOS ONE, October 2013
|
| DOI | 10.1371/journal.pone.0078336 |
| Pubmed ID | |
| Authors |
Nicole E. Basta, James M. Stuart, Maria C. Nascimento, Olivier Manigart, Caroline Trotter, Musa Hassan-King, Daniel Chandramohan, Samba O. Sow, Abdoulaye Berthe, Ahmed Bedru, Yenenesh K. Tekletsion, Jean-Marc Collard, Jean-François Jusot, Aldiouma Diallo, Hubert Basséne, Doumagoum M. Daugla, Khadidja Gamougam, Abraham Hodgson, Abudulai A. Forgor, Babatunji A. Omotara, Galadima B. Gadzama, Eleanor R. Watkins, Lisa S. Rebbetts, Kanny Diallo, Noel S. Weiss, M. Elizabeth Halloran, Martin C. J. Maiden, Brian Greenwood |
| Abstract |
Detection of meningococcal carriers is key to understanding the epidemiology of Neisseria meningitidis, yet no gold standard has been established. Here, we directly compare two methods for collecting pharyngeal swabs to identify meningococcal carriers. |
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 % |
|---|---|---|
| Italy | 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 67 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United States | 2 | 3% |
| Unknown | 65 | 97% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 17 | 25% |
| Student > Master | 12 | 18% |
| Student > Ph. D. Student | 8 | 12% |
| Student > Bachelor | 7 | 10% |
| Student > Doctoral Student | 3 | 4% |
| Other | 13 | 19% |
| Unknown | 7 | 10% |
| Readers by discipline | Count | As % |
|---|---|---|
| Medicine and Dentistry | 20 | 30% |
| Immunology and Microbiology | 15 | 22% |
| Agricultural and Biological Sciences | 9 | 13% |
| Biochemistry, Genetics and Molecular Biology | 5 | 7% |
| Social Sciences | 4 | 6% |
| Other | 5 | 7% |
| Unknown | 9 | 13% |