The initial Award candidate pool consisted of articles summarized by members of the ISDS Literature Review Subcommittee between January 2010 and March 2012. A nomination period was open from June 4, 2012 through June 25, 2012, during which any interested stakeholder was invited to nominate one or more of the articles in the initial pool or write-in any relevant article published in 2010 or later. The Award Committee then reviewed all nominated articles and narrowed the list down to 5 finalist articles in each award category. The ISDS membership voted to determine the final award winners.
The ISDS Research Committee is proud to announce the Awards for Outstanding Research Articles in Biosurveillance:
Impact on Field of Biosurveillance Category
- First Prize: Lucero CA, Oda G, Cox K, et al. Enhanced health event detection and influenza surveillance using a joint Veterans Affairs and Department of Defense biosurveillance application. BMC Med Inform Decis Mak. 2011;11:56.
- Second Prize: Peter W, Najmi AH, Burkom HS. Reducing false alarms in syndromic surveillance. Statistics in Medicine. 2011.
Tie for Third Prize:
- Finnell JT, Overhage JM, Grannis S. All Health Care is Not Local: An Evaluation of the Distribution of Emergency Department Care Delivered in Indiana. AMIA Annu Symp Proc. 2011;2011:409-416.
- Kay M, Zerr DM, Englund JA, et al. Shedding of pandemic (H1N1) 2009 virus among health care personnel, Seattle, Washington, USA. Emerg Infect Dis. 2011;17:639-644.
Scientific Achievement Category
- First Prize: Gesteland PH, Livnat Y, Galli N, Samore MH, Gundlapalli AV. The EpiCanvas infectious disease weather map: an interactive visual exploration of temporal and spatial correlations. Journal of the American Medical Informatics Association: JAMIA. 2012.
- Second Prize: Fine AM, Nizet V, Mandl KD. Improved diagnostic accuracy of group A streptococcal pharyngitis with use of real-time biosurveillance. Ann. Intern. Med. 2011;155(6):345-352.
Tie for Third Prize:
- Hampton KH, Serre ML, Gesink DC, Pilcher CD, Miller WC. Adjusting for sampling variability in sparse data: geostatistical approaches to disease mapping. Int J Health Geogr. 2011;10:54.
- Que J, Tsui FC. Rank-based spatial clustering: an algorithm for rapid outbreak detection. Journal of the American Medical Informatics Association. 2011;18(3):218.