EpidNews: An Epidemiological News Explorer for Monitoring Animal Diseases

Abstract : In the recent years, there has been a massive increase in the amount of data being produced about human and animal health related events. Epidemiologists have to analyze this epidemiological data on a regular basis. They use this spatio-temporal information, most of which is shared online, to detect, observe, and track geographic locations of disease outbreaks over time. Unfortunately, manually retrieving the data from a website like Google News and then deriving sensible insights from the huge dataset consumes a lot of time and effort. We present EpidNews, a new visual analytics tool that helps to visualize and explore epidemiological news data for animals. The tool uses several views depicting various levels of abstraction, which helps fulfill almost all the data analysis requirements of epidemiologists. We also present the case study of an epidemiology expert, wherein she assesses the usability and productivity of EpidNews by using the tool in her daily work.
Type de document :
Communication dans un congrès
VINCI: Visual Information Communication and Interaction, Aug 2018, Växjö, Sweden. 11th International Symposium on Visual Information Communication and Interaction, 2018, 〈http://vinci-conf.org〉. 〈10.1145/3231622.3231624〉
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https://hal-lirmm.ccsd.cnrs.fr/lirmm-01911990
Contributeur : Arnaud Sallaberry <>
Soumis le : lundi 5 novembre 2018 - 08:08:52
Dernière modification le : mercredi 7 novembre 2018 - 01:17:54
Document(s) archivé(s) le : mercredi 6 février 2019 - 14:57:13

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goel_al_2018a.pdf
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Rohan Goel, Samiha Fadloun, Sarah Valentin, Arnaud Sallaberry, Mathieu Roche, et al.. EpidNews: An Epidemiological News Explorer for Monitoring Animal Diseases. VINCI: Visual Information Communication and Interaction, Aug 2018, Växjö, Sweden. 11th International Symposium on Visual Information Communication and Interaction, 2018, 〈http://vinci-conf.org〉. 〈10.1145/3231622.3231624〉. 〈lirmm-01911990〉

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