EpidNews: Extracting, exploring and annotating news for monitoring animal diseases
2020
Goel, Rohan | Valentin, Sarah | Delaforge, Alexis | Fadloun, Samiha | Sallaberry, Arnaud | Roche, Mathieu | Poncelet, Pascal | Birla Institute of Technology and Science (BITS Pilani) | ADVanced Analytics for data SciencE (ADVANSE) ; Laboratoire d'Informatique de Robotique et de Microélectronique de Montpellier (LIRMM) ; Université de Montpellier (UM)-Centre National de la Recherche Scientifique (CNRS)-Université de Montpellier (UM)-Centre National de la Recherche Scientifique (CNRS) | Animal, Santé, Territoires, Risques et Ecosystèmes (UMR ASTRE) ; Centre de Coopération Internationale en Recherche Agronomique pour le Développement (Cirad)-Institut National de Recherche pour l’Agriculture, l’Alimentation et l’Environnement (INRAE) | Département Systèmes Biologiques (Cirad-BIOS) ; Centre de Coopération Internationale en Recherche Agronomique pour le Développement (Cirad) | Université Paul-Valéry - Montpellier 3 (UPVM) | Territoires, Environnement, Télédétection et Information Spatiale (UMR TETIS) ; Centre de Coopération Internationale en Recherche Agronomique pour le Développement (Cirad)-AgroParisTech-Centre National de la Recherche Scientifique (CNRS)-Institut National de Recherche pour l’Agriculture, l’Alimentation et l’Environnement (INRAE) | Département Environnements et Sociétés (Cirad-ES) ; Centre de Coopération Internationale en Recherche Agronomique pour le Développement (Cirad) | Ministry of Higher Education and Scientific Research of Algeria, the SONGES project (FEDER and Occitanie) and the French National Research Agency under the Investments for the Future Program, referred as ANR-16-CONV-0004. | ANR-16-CONV-0004,DIGITAG,Institut Convergences en Agriculture Numérique(2016)
International audience
Show more [+] Less [-]English. 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.
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