Elaboration of a new framework for fine-grained epidemiological annotation

Valentin Sarah, Arsevska Elena, Vilain Aline, De Waele Valérie, Lancelot Renaud, Roche Mathieu. 2022. Elaboration of a new framework for fine-grained epidemiological annotation. Scientific Data, 9:655, 12 p.

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

Résumé : Event-based surveillance (EBS) gathers information from a variety of data sources, including online news articles. Unlike the data from formal reporting, the EBS data are not structured, and their interpretation can overwhelm epidemic intelligence (EI) capacities in terms of available human resources. Therefore, diverse EBS systems that automatically process (all or part of) the acquired nonstructured data from online news articles have been developed. These EBS systems (e.g., GPHIN, HealthMap, MedISys, ProMED, PADI-web) can use annotated data to improve the surveillance systems. This paper describes a framework for the annotation of epidemiological information in animal disease-related news articles. We provide annotation guidelines that are generic and applicable to both animal and zoonotic infectious diseases, regardless of the pathogen involved or its mode of transmission (e.g., vector-borne, airborne, by contact). The framework relies on the successive annotation of all the sentences from a news article. The annotator evaluates the sentences in a specific epidemiological context, corresponding to the publication date of the news article.

Mots-clés Agrovoc : fouille de textes, épidémiologie, surveillance épidémiologique, zoonose, journal, périodique, revue

Mots-clés libres : Animal disease surveillance, Annotation, Corpus, Text-mining, Classification

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

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

Agences de financement européennes : European Commission

Programme de financement européen : H2020

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

Auteurs et affiliations

• Valentin Sarah, Université de Montpellier (FRA) ORCID: 0000-0002-9028-681X
• Arsevska Elena, CIRAD-BIOS-UMR ASTRE (FRA) ORCID: 0000-0002-6693-2316
• Vilain Aline, Veterinary Epidemiology Service (BEL)
• De Waele Valérie, PSW (BEL)
• Lancelot Renaud, CIRAD-BIOS-UMR ASTRE (REU)
• Roche Mathieu, CIRAD-ES-UMR TETIS (FRA) ORCID: 0000-0003-3272-8568 - auteur correspondant

Source : Cirad-Agritrop (https://agritrop.cirad.fr/602813/)

Métriques

[ Page générée et mise en cache le 2024-02-09 ]