-
Articles citing this article
- PubMed -
Same authors
- PubMed - Recommend this article
- Download citation
- Alert me if this article is cited
- Alert me if this article is corrected
BibSonomy
CiteUlike
Connotea
Del.icio.us
Digg
Facebook
|
|||||||||||||||||||||
How to cite this article: Vet. Res. (2008) 39:57
DOI: 10.1051/vetres:2008033
Evaluation and optimization of surveillance systems for rare and emerging infectious diseases
Daniela C. Hadorn1 and Katharina D.C. Stärk1, 21 Federal Veterinary Office, Berne, Switzerland
2 Royal Veterinary College, London, United Kingdom
Received 1 February 2008; accepted 23 July 2008; published online 25 July 2008
Abstract - Surveillance for rare and emerging infectious diseases poses a special challenge to veterinary services. Most emerging infectious diseases like bovine tuberculosis (bTB) are zoonoses, affecting both human and animal populations. Despite the low prevalence of such an emerging infectious disease at time of incursion, the surveillance system should be able to detect the presence of the disease as early as possible. Because passive surveillance is a relatively cost-effective and therefore commonly used process, it is the basic tool for infectious disease surveillance. Because of under-reporting in passive surveillance, cost-intensive active surveillance is often required to increase the sensitivity of the surveillance system. Using scenario tree modelling, the sensitivity of passive and active surveillance system components (SSC) can be quantified and an optimal, cost-effective surveillance system developed considering the contributions of each SSC. We illustrate this approach with the example of bTB surveillance in Switzerland where the surveillance system for bTB consists of meat inspection at the slaughterhouse (SLI), passive clinical surveillance on farm (CLIN) and human surveillance (HS). While the sensitivities for CLIN and HS were both negligible (<1%), SLI was assessed to be 55.6%. The scenario tree model showed that SLI is increasable up to 80.4% when the disease awareness of meat inspectors in Switzerland is enhanced. A hypothetical random survey (RS) was also compared with a targeted survey (TS) in high-risk strata of the cattle population, and the sensitivity of TS was 1.17-fold better than in RS but with 50% of the sample size.
Key words: scenario tree modelling / surveillance system / emerging infectious disease / bovine tuberculosis
Corresponding author: daniela.hadorn@bvet.admin.ch
© INRA, EDP Sciences 2008
| What is OpenURL? |
- If your librarian has set up your subscription with an OpenURL resolver, OpenURL links appear automatically on the abstract pages.
- You can define your own OpenURL resolver with your EDPS Account. In this case your choice will be given priority over that of your library.
- You can use an add-on for your browser (Firefox or I.E.) to display OpenURL links on a page (see http://www.openly.com/openurlref/). You should disable this module if you wish to use the OpenURL server that you or your library have defined.
