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A rationale to unify measurements of effectiveness for animal health surveillance

Grosbois Vladimir, Häsler Barbara, Peyre Marie-Isabelle, Thi Hiep Dao, Vergne Timothée. 2015. A rationale to unify measurements of effectiveness for animal health surveillance. Preventive Veterinary Medicine, 120 (1) : pp. 70-85. International Conference on Animal Health Surveillance. 2, La Havane, Cuba, 7 May 2014/9 May 2014.

Journal article ; Article de revue à facteur d'impact
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Quartile : Q1, Sujet : VETERINARY SCIENCES

Abstract : Surveillance systems produce data which, once analysed and interpreted, support decisions regarding disease management. While several performance measures for surveillance are in use, no theoretical framework has been proposed yet with a rationale for defining and estimating effectiveness measures of surveillance systems in a generic way. An effective surveillance system is a system whose data collection, analysis and interpretation processes lead to decisions that are appropriate given the true disease status of the target population. Accordingly, we developed a framework accounting for sampling, testing and data interpretation processes, to depict in a probabilistic way the direction and magnitude of the discrepancy between "decisions that would be made if the true state of a population was known" and the "decisions that are actually made upon the analysis and interpretation of surveillance data". The proposed framework provides a theoretical basis for standardised quantitative evaluation of the effectiveness of surveillance systems. We illustrate such approaches using hypothetical surveillance systems aimed at monitoring the prevalence of an endemic disease and at detecting an emerging disease as early as possible and with an empirical case study on a passive surveillance system aiming at detecting cases of Highly Pathogenic Avian Influenza cases in Vietnamese poultry. (Résumé d'auteur)

Mots-clés Agrovoc : Surveillance épidémiologique, Efficacité, Analyse de données, Évaluation, Modèle de simulation, Étude de cas, Influenzavirus aviaire, Aviculture

Mots-clés géographiques Agrovoc : Viet Nam

Classification Agris : L73 - Animal diseases
L70 - Veterinary science and hygiene - General aspects
C30 - Documentation and information

Champ stratégique Cirad : Axe 4 (2014-2018) - Santé des animaux et des plantes

Auteurs et affiliations

  • Grosbois Vladimir, CIRAD-ES-UPR AGIRs (FRA)
  • Häsler Barbara, Royal Veterinary College (GBR)
  • Peyre Marie-Isabelle, CIRAD-ES-UPR AGIRs (VNM) ORCID: 0000-0002-0887-3418
  • Thi Hiep Dao, Vietnam National University (VNM)
  • Vergne Timothée, Royal Veterinary College (GBR)

Source : Cirad - Agritrop (https://agritrop.cirad.fr/575921/)

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