Veterinary syndromic surveillance in practice: costs and benefits for governmental organizations

Infection Ecology and Epidemiology

Volumn 5, Issue 1, 2015, Pages

  Dórea, Fernanda C ^a   Lindberg, Ann ^a   Elvander, Marianne ^a  

^a NATIONAL VETERINARY INSTITUTE   (Sweden)

Author keywords

aberration detection; animal health; laboratory data

Indexed keywords

EID: 84975756272     PISSN: None     EISSN: 20008686     Source Type: Journal    
DOI: 10.3402/IEE.V5.29973     Document Type: Article

References (7)

1. Dupuy C, Bronner A, Watson E, Wuyckhuise-Sjouke L, Reist M, Fouillet A, et al. Inventory of veterinary syndromic surveillance initiatives in Europe (triple-S project): current situation and perspectives. Prev Vet Med 2013; 111: 220–9.
2. Dórea FC, Sanchez J, Revie CW. Veterinary syndromic surveil-lance: current initiatives and potential for development. Prev Vet Med 2011; 101: 1–17. doi: http://dx.doi.org/10.1016/j.prevetmed. 2011.05.004
3. Dórea FC, Sanchez J, McEwen BJ, McNab WB, Revie CW. Syndromic surveillance using veterinary laboratory data: algorithm combination and customization of alerts. PLoS One 2013; 8: e82183.
4. Dórea FC, Lindberg A, McEwen BJ, Sanchez J, Revie CW. Syndromic surveillance using veterinary laboratory requests: a practical guide informed by experience with two systems. Prev Vet Med 2014; 116: 313–24.
5. R Development Core Team (2012). R: a language and environ-ment for statistical computing. Vienna, Austria: R Foundation for Statistical Computing.
6. Dórea FC, Muckle CA, Kelton D, McClure JT, McEwen BJ, McNab WB, et al. Exploratory analysis of methods for automated classification of laboratory test orders into syndromic groups in veterinary medicine. PLoS One 2013; 8: e57334.
7. Radaelli G. Planning time-between-events Shewhart control charts. Total Qual Manage 1998; 9: 133–40.