toggle visibility Search & Display Options

Select All    Deselect All
 |   | 
  Record Links
Author (up) Gaoussou Camara; Rim Djedidi; Sylvie Despres; Moussa Lo pdf  isbn
  Title Towards an ontology for an epidemiological monitoring system Type Conference Article
  Year 2012 Publication ISCRAM 2012 Conference Proceedings – 9th International Conference on Information Systems for Crisis Response and Management Abbreviated Journal ISCRAM 2012  
  Volume Issue Pages  
  Keywords Disease control; Information systems; Disease spreading; Early prediction; Monitoring system; Ontological modeling; Qualitative approach; Quantitative approach; Risk predictions; Simulation; Monitoring  
  Abstract Epidemiological monitoring systems are used to control the evolution of disease spreading and to suggest action plans to prevent identified risks. In this domain, risk prediction is based on quantitative approaches that are hardly usable when data collection is not possible. In this paper, a qualitative approach based on an epidemiological monitoring ontology is proposed. We describe the design of this ontology and show how it fits into classical monitoring systems and helps overcoming limits related to quantitative approaches. © 2012 ISCRAM.  
  Address LANI, Université Gaston Berger, B.P. 234, Saint-Louis, Senegal; LIM and BIO, Université Paris 13, 74 rue Marcel Cachin, 93017 Bobigny, France  
  Corporate Author Thesis  
  Publisher Simon Fraser University Place of Publication Vancouver, BC Editor L. Rothkrantz, J. Ristvej, Z.Franco  
  Language English Summary Language English Original Title  
  Series Editor Series Title Abbreviated Series Title  
  Series Volume Series Issue Edition  
  ISSN 2411-3387 ISBN 9780864913326 Medium  
  Track Analytical Modelling and Simulation Expedition Conference 9th International ISCRAM Conference on Information Systems for Crisis Response and Management  
  Notes Approved no  
  Call Number Serial 86  
Share this record to Facebook
Select All    Deselect All
 |   | 

Save Citations:
Export Records: