EpidVis: A visual web querying tool for animal epidemiology surveillance. (January 2020)

• Record Type: Journal Article
• Authors: Fadloun, Samiha; Sallaberry, Arnaud; Mercier, Alizé; Arsevska, Elena; Roche, Mathieu; Poncelet, Pascal
• Is Part Of: Information visualization. Volume 19:Number 1(2020)
• Page Start: 48
• Page End: 64
• Publication Date: 2020-01
• Subjects: Visual queries -- visual information seeking -- online news monitoring -- animal health -- epidemic intelligence; Information visualization -- Periodicals; 006.605
• DOI: 10.1177/1473871619861786
• Languages: English
• ISSNs: 1473-8716

Abstract

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.