EpidVis: A visual web querying tool for animal epidemiology surveillance

Fadloun Samilha, Sallaberry Arnaud, Mercier Alizé, Arsevska Elena, Roche Mathieu, Poncelet Pascal. 2020. EpidVis: A visual web querying tool for animal epidemiology surveillance. Information Visualization, 19 (1) : 48-64.

https://doi.org/10.1177/1473871619861786

Article de revue ; Article de recherche ; Article de revue à facteur d'impact

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Quartile : Q4, Sujet : COMPUTER SCIENCE, SOFTWARE ENGINEERING

Résumé : The use of electronic media for the detection and monitoring of animal disease outbreaks is crucial for disease surveillance and early warning systems. Animal health specialists regularly query web pages using various formulations to obtain up-to-date news on disease outbreaks. This task, however, is often manual and time-consuming. Visualization techniques can nevertheless facilitate their web searches, compared to traditional searches. This article presents EpidVis, a visual web query tool designed for experts in animal health, conducting epidemic intelligence activities from news sources on the Internet. It consists of several views that help the domain experts efficiently build and launch queries, as well as visualize the results. Moreover, it supports external information integration to help domain experts enrich their knowledge and adapt their queries. EpidVis was assessed considering usability (user study) and usefulness for experts (case study). The results show that our tool helps domain experts in their daily surveillance tasks, allowing them to extract in timely manner accurate information on disease outbreaks from the web.

Mots-clés Agrovoc : surveillance épidémiologique, bioinformatique

Mots-clés libres : Visual analytics, Visual queries, Epidemic intelligence

Classification Agris : L73 - Maladies des animaux
U30 - Méthodes de recherche

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

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