PADI-web 3.0: A new framework for extracting and disseminating fine-grained information from the news for animal disease surveillance

Valentin Sarah, Arsevska Elena, Rabatel Julien, Falala Sylvain, Mercier Alizé, Lancelot Renaud, Roche Mathieu. 2021. PADI-web 3.0: A new framework for extracting and disseminating fine-grained information from the news for animal disease surveillance. One Health, 13:100357, 10 p.

Url - jeu de données - Dataverse Cirad : https://doi.org/10.18167/DVN1/YGAKNB

Quartile : Q1, Sujet : INFECTIOUS DISEASES / Quartile : Q1, Sujet : PUBLIC, ENVIRONMENTAL & OCCUPATIONAL HEALTH (Science)

Résumé : PADI-web (Platform for Automated extraction of animal Disease Information from the web) is a biosurveillance system dedicated to monitoring online news sources for the detection of emerging animal infectious diseases. PADI-web has collected more than 380,000 news articles since 2016. Compared to other existing biosurveillance tools, PADI-web focuses specifically on animal health and has a fully automated pipeline based on machine-learning methods. This paper presents the new functionalities of PADI-web based on the integration of: (i) a new fine-grained classification system, (ii) automatic methods to extract terms and named entities with text-mining approaches, (iii) semantic resources for indexing keywords and (iv) a notification system for end-users. Compared to other biosurveillance tools, PADI-web, which is integrated in the French Platform for Animal Health Surveillance (ESA Platform), offers strong coverage of the animal sector, a multilingual approach, an automated information extraction module and a notification tool configurable according to end-user needs.

Mots-clés Agrovoc : fouille de textes, santé animale, surveillance épidémiologique, analyse de données, maladie des animaux, système d'alerte rapide, maladie infectieuse, système d'information

Mots-clés libres : Animal disease surveillance, One Health, Text mining, Software

Champ stratégique Cirad : CTS 4 (2019-) - Santé des plantes, des animaux et des écosystèmes

Agences de financement européennes : European Commission

Projets sur financement : (EU) MOnitoring Outbreak events for Disease surveillance in a data science context

Auteurs et affiliations

• Valentin Sarah, CIRAD-BIOS-UMR ASTRE (FRA) ORCID: 0000-0002-9028-681X
• Arsevska Elena, CIRAD-BIOS-UMR ASTRE (FRA) ORCID: 0000-0002-6693-2316
• Rabatel Julien
• Falala Sylvain, INRAE (FRA)
• Mercier Alizé, CIRAD-BIOS-UMR ASTRE (FRA)
• Lancelot Renaud, CIRAD-BIOS-UMR ASTRE (FRA)
• Roche Mathieu, CIRAD-ES-UMR TETIS (FRA) ORCID: 0000-0003-3272-8568 - auteur correspondant

Source : Cirad-Agritrop (https://agritrop.cirad.fr/599828/)

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