Network analysis of surveillance system evaluation attributes: a way towards improvement of the evaluation process

Peyre Marie-Isabelle, Hoinville Linda, Haesler Barbara, Lindberg Ann, Bisdorff B., Dórea F., Wahlström H., Frössling J., Calba Clémentine, Grosbois Vladimir, Goutard Flavie. 2014. Network analysis of surveillance system evaluation attributes: a way towards improvement of the evaluation process. In : Proceedings ICAHS - 2nd International Conference on Animal Health Surveillance " Surveillance against the odds", The Havana, Cuba, 7-9 May 2014. s.l. : s.n., 172-174. International Conference on Animal Health Surveillance. 2, La Havane, Cuba, 7 Mai 2014/9 Mai 2014.

Résumé : Evaluation of animal surveillance systems is essential to ensure quality of the data and to better inform the allocation of resources. Evaluation attributes (e.g. sensitivity; timeliness...) to date have been used with limited standardization, which makes the comparison of evaluation outputs difficult. We applied network analysis based on expert opinion to understand the links between evaluation attributes and the relative importance of each of the evaluation attributes, in order to provide recommendations for their inclusion in the evaluation process. Eleven experts were asked to assess the links between attributes for case studies representing different surveillance objectives (early detection, freedom from disease, case detection). Comparative analysis of the centrality indices and outputs of the principal component analysis from the attribute networks was performed. The analysis showed a clear difference in the organization of the evaluation attribute networks according to the surveillance components considered (e.g. risk-based surveillance versus classical surveillance). This study also provided critical information for the improvement of evaluation attribute definitions and categories. The results contribute to formulating recommendations to decision makers on the surveillance system evaluation process.

Classification Agris : L70 - Sciences et hygiène vétérinaires - Considérations générales
L73 - Maladies des animaux
U10 - Informatique, mathématiques et statistiques

Auteurs et affiliations

• Peyre Marie-Isabelle, CIRAD-ES-UPR AGIRs (VNM) ORCID: 0000-0002-0887-3418
• Hoinville Linda, Animal Health and Veterinary (USA)
• Haesler Barbara, Royal Veterinary College (GBR)
• Lindberg Ann, National Veterinary Institute (SWE)
• Bisdorff B., Royal Veterinary College (GBR)
• Dórea F., Royal Veterinary College (GBR)
• Wahlström H., Royal Veterinary College (GBR)
• Frössling J., Royal Veterinary College (GBR)
• Calba Clémentine, CIRAD-ES-UPR AGIRs (FRA)
• Grosbois Vladimir, CIRAD-ES-UPR AGIRs (FRA) ORCID: 0000-0003-1835-1434
• Goutard Flavie, CIRAD-ES-UPR AGIRs (THA)

Source : Cirad - Agritrop (https://agritrop.cirad.fr/573676/)

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