EpidNews: Extracting, exploring and annotating news for monitoring animal diseases

Goel Rohan, Valentin Sarah, Delaforge Alexis, Fadloun Samilha, Sallaberry Arnaud, Roche Mathieu, Poncelet Pascal. 2020. EpidNews: Extracting, exploring and annotating news for monitoring animal diseases. Journal of Computer Languages, 56:100936, 12 p.

Quartile : Q3, Sujet : COMPUTER SCIENCE, SOFTWARE ENGINEERING

Résumé : In the recent years, there has been a massive increase in the amount of data published on the web about human and animal health events. Epidemiologists use this spatio-temporal information on a daily basis to detect and monitor disease outbreaks over time. While official sources such as the World Organization for Animal Health release formal outbreak notifications, unofficial sources such as online newspapers contain unstructured information with different levels of reliability. Manually retrieving the data from a website like Google News and then deriving sensible insights from the huge dataset takes a lot of time and effort. We present EpidNews, a new visual analytics tool that helps to visualize and explore epidemiological data for monitoring animal disease outbreaks. The tool uses several views depicting various levels of abstraction, which helps fulfill almost all the data analysis requirements of epidemiologists. EpidNews allows to visualize and compare data from both official and unofficial sources. We also present the use case of an epidemiology expert, wherein the expert assesses the usability and productivity of EpidNews by using the tool in her daily work.

Mots-clés Agrovoc : épidémiologie, maladie des animaux, santé animale, OMSA, fouille de données, journal, surveillance épidémiologique

Mots-clés libres : Visual analytics, Animal disease surveillance, Data mining

Classification Agris : L73 - Maladies des animaux
C30 - Documentation et information
U10 - Informatique, mathématiques et statistiques

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

Auteurs et affiliations

• Goel Rohan, BITS Pilani (IND)
• Valentin Sarah, CIRAD-BIOS-UMR ASTRE (FRA) ORCID: 0000-0002-9028-681X
• Delaforge Alexis, Université Paul Valéry Montpellier 3 (FRA)
• Fadloun Samilha, LIRMM (FRA)
• Sallaberry Arnaud, LIRMM (FRA) - auteur correspondant
• Roche Mathieu, CIRAD-ES-UMR TETIS (FRA) ORCID: 0000-0003-3272-8568 - auteur correspondant
• Poncelet Pascal, LIRMM (FRA)

Source : Cirad-Agritrop (https://agritrop.cirad.fr/594528/)

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