| Title |
Effective Detection of the 2009 H1N1 Influenza Pandemic in U.S. Veterans Affairs Medical Centers Using a National Electronic Biosurveillance System
|
|---|---|
| Published in |
PLOS ONE, March 2010
|
| DOI | 10.1371/journal.pone.0009533 |
| Pubmed ID | |
| Authors |
Patricia Schirmer, Cynthia Lucero, Gina Oda, Jessica Lopez, Mark Holodniy |
| Abstract |
The 2008-09 influenza season was the time in which the Department of Veterans Affairs (VA) utilized an electronic biosurveillance system for tracking and monitoring of influenza trends. The system, known as ESSENCE or Electronic Surveillance System for the Early Notification of Community-based Epidemics, was monitored for the influenza season as well as for a rise in influenza cases at the start of the H1N1 2009 influenza pandemic. We also describe trends noted in influenza-like illness (ILI) outpatient encounter data in VA medical centers during the 2008-09 influenza season, before and after the recognition of pandemic H1N1 2009 influenza virus. |
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 % |
|---|---|---|
| Unknown | 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 29 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 29 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 6 | 21% |
| Researcher | 6 | 21% |
| Student > Bachelor | 3 | 10% |
| Student > Master | 3 | 10% |
| Student > Postgraduate | 2 | 7% |
| Other | 6 | 21% |
| Unknown | 3 | 10% |
| Readers by discipline | Count | As % |
|---|---|---|
| Medicine and Dentistry | 8 | 28% |
| Agricultural and Biological Sciences | 8 | 28% |
| Social Sciences | 3 | 10% |
| Immunology and Microbiology | 2 | 7% |
| Nursing and Health Professions | 1 | 3% |
| Other | 4 | 14% |
| Unknown | 3 | 10% |