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Mendeley readers
| Title |
Validity and timeliness of syndromic influenza surveillance during the autumn/winter wave of A (H1N1) influenza 2009: results of emergency medical dispatch, ambulance and emergency department data from three European regions
|
|---|---|
| Published in |
BMC Public Health, October 2013
|
| DOI | 10.1186/1471-2458-13-905 |
| Pubmed ID | |
| Authors |
Nicole Rosenkötter, Alexandra Ziemann, Luis Garcia-Castrillo Riesgo, Jean Bernard Gillet, Gernot Vergeiner, Thomas Krafft, Helmut Brand |
| Abstract |
Emergency medical service (EMS) data, particularly from the emergency department (ED), is a common source of information for syndromic surveillance. However, the entire EMS chain, consists of both out-of-hospital and in-hospital services. Differences in validity and timeliness across these data sources so far have not been studied. Neither have the differences in validity and timeliness of this data from different European countries. In this paper we examine the validity and timeliness of the entire chain of EMS data sources from three European regions for common syndromic influenza surveillance during the A(H1N1) influenza pandemic in 2009. |
Mendeley readers
The data shown below were compiled from readership statistics for 50 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Switzerland | 1 | 2% |
| Unknown | 49 | 98% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 14 | 28% |
| Student > Ph. D. Student | 10 | 20% |
| Student > Master | 7 | 14% |
| Student > Bachelor | 6 | 12% |
| Student > Postgraduate | 3 | 6% |
| Other | 9 | 18% |
| Unknown | 1 | 2% |
| Readers by discipline | Count | As % |
|---|---|---|
| Medicine and Dentistry | 18 | 36% |
| Nursing and Health Professions | 7 | 14% |
| Social Sciences | 5 | 10% |
| Veterinary Science and Veterinary Medicine | 2 | 4% |
| Agricultural and Biological Sciences | 2 | 4% |
| Other | 11 | 22% |
| Unknown | 5 | 10% |