Agritrop
Accueil

Identification of associations between clinical signs and hosts to monitor the web for detection of animal disease outbreaks

Arsevska Elena, Roche Mathieu, Hendrikx Pascal, Chavernac David, Falala Sylvain, Lancelot Renaud, Dufour Barbara. 2016. Identification of associations between clinical signs and hosts to monitor the web for detection of animal disease outbreaks. International Journal of Agricultural and Environmental Information Systems, 7 (3) : 1-10.

Article de revue ; Article de recherche ; Article de revue à comité de lecture
[img] Version publiée - Anglais
Accès réservé aux personnels Cirad
Utilisation soumise à autorisation de l'auteur ou du Cirad.
Identification-of-Associations-between-Clinical-Signs-and-Hosts-to-Monitor-the-Web-for-Detection-of-Animal-Disease-Outbreaks.pdf

Télécharger (2MB) | Demander une copie

Résumé : In a context of intensification of international trade and travels, the transboundary spread of emerging human or animal pathogens represents a growing concern. One of the missions of the national veterinary services is to implement international epidemiological intelligence for a timely and accurate detection of emerging animal infectious diseases (EAID) worldwide, and take early actions to prevent their introduction on the national territory. For this purpose, an efficient use of the information published on the web is essential. The authors present a comprehensive method for identification of relevant associations between terms describing clinical signs and hosts to build queries to monitor the web for early detection of EAID. Using text and web mining approaches, they present statistical measures for automatic selection of relevant associations between terms. In addition, expert elicitation is used to highlight the most relevant terms and associations among those automatically selected. The authors assessed the performance of the combination of the automatic approach and expert elicitation to monitor the web for a list of selected animal pathogens.

Mots-clés Agrovoc : fouille de textes, épidémiologie, identification, maladie transfrontière, agent pathogène, maladie infectieuse, maladie des animaux, maladie de l'homme, commerce international, introduction d'animaux, intensification, surveillance épidémiologique, genre humain, prévention des maladies, hôte

Mots-clés libres : Disease emergence, Expert elicitation, Information retrieval, Ranking function, Text mining, Web mining

Classification Agris : L73 - Maladies des animaux
C30 - Documentation et information

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

Auteurs et affiliations

Source : Cirad-Agritrop (https://agritrop.cirad.fr/581518/)

Voir la notice (accès réservé à Agritrop) Voir la notice (accès réservé à Agritrop)

[ Page générée et mise en cache le 2024-12-13 ]