Skip to main content

Research Repository

Advanced Search

SERVAL: A New Framework for the Evaluation of Animal Health Surveillance

Drewe, J A; Hoinville, L J; Cook, A J C; Floyd, T; Gunn, G; Staerk, K D C


J A Drewe

L J Hoinville

A J C Cook

T Floyd

G Gunn

K D C Staerk


Animal health surveillance programmes may change in response to altering requirements or perceived weaknesses but are seldom subjected to any formal evaluation to ensure that they provide valuable information in an efficient manner. The literature on the evaluation of animal health surveillance systems is sparse, and those that are published may be unstructured and therefore incomplete. To address this gap, we have developed SERVAL, a SuRveillance EVALuation framework, which is novel and aims to be generic and therefore suitable for the evaluation of any animal health surveillance system. The inclusion of socio‐economic criteria ensures that economic evaluation is an integral part of this framework. SERVAL was developed with input from a technical workshop of international experts followed by a consultation process involving providers and users of surveillance and evaluation data. It has been applied to a range of case studies encompassing different surveillance and evaluation objectives. Here, we describe the development, structure and application of the SERVAL framework. We discuss users' experiences in applying SERVAL to evaluate animal health surveillance systems in Great Britain.


Drewe, J. A., Hoinville, L. J., Cook, A. J. C., Floyd, T., Gunn, G., & Staerk, K. D. C. (2015). SERVAL: A New Framework for the Evaluation of Animal Health Surveillance. Transboundary and Emerging Diseases, 62(1), 33-45.

Journal Article Type Article
Acceptance Date Jan 1, 2013
Publication Date Jan 5, 2015
Deposit Date Nov 11, 2014
Journal Transboundary and Emerging Diseases
Print ISSN 1865-1674
Publisher Wiley
Peer Reviewed Peer Reviewed
Volume 62
Issue 1
Pages 33-45
Public URL
Additional Information Corporate Creators : AHVLA, Scottish Agricultural College