| Title |
Use of Cumulative Incidence of Novel Influenza A/H1N1 in Foreign Travelers to Estimate Lower Bounds on Cumulative Incidence in Mexico
|
|---|---|
| Published in |
PLOS ONE, September 2009
|
| DOI | 10.1371/journal.pone.0006895 |
| Pubmed ID | |
| Authors |
Marc Lipsitch, Martin Lajous, Justin J. O'Hagan, Ted Cohen, Joel C. Miller, Edward Goldstein, Leon Danon, Jacco Wallinga, Steven Riley, Scott F. Dowell, Carrie Reed, Meg McCarron |
| Abstract |
An accurate estimate of the total number of cases and severity of illness of an emerging infectious disease is required both to define the burden of the epidemic and to determine the severity of disease. When a novel pathogen first appears, affected individuals with severe symptoms are more likely to be diagnosed. Accordingly, the total number of cases will be underestimated and disease severity overestimated. This problem is manifest in the current epidemic of novel influenza A/H1N1. |
X Demographics
The data shown below were collected from the profiles of 18 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 | 7 | 39% |
| Poland | 1 | 6% |
| Yemen | 1 | 6% |
| Serbia | 1 | 6% |
| Unknown | 8 | 44% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 15 | 83% |
| Scientists | 2 | 11% |
| Practitioners (doctors, other healthcare professionals) | 1 | 6% |
Mendeley readers
The data shown below were compiled from readership statistics for 60 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United Kingdom | 2 | 3% |
| Israel | 1 | 2% |
| Italy | 1 | 2% |
| Afghanistan | 1 | 2% |
| United States | 1 | 2% |
| Unknown | 54 | 90% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 13 | 22% |
| Student > Ph. D. Student | 10 | 17% |
| Professor > Associate Professor | 8 | 13% |
| Student > Bachelor | 7 | 12% |
| Student > Master | 7 | 12% |
| Other | 11 | 18% |
| Unknown | 4 | 7% |
| Readers by discipline | Count | As % |
|---|---|---|
| Medicine and Dentistry | 14 | 23% |
| Agricultural and Biological Sciences | 11 | 18% |
| Mathematics | 6 | 10% |
| Social Sciences | 3 | 5% |
| Nursing and Health Professions | 2 | 3% |
| Other | 14 | 23% |
| Unknown | 10 | 17% |