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Record |
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Author  |
Gaoussou Camara; Rim Djedidi; Sylvie Despres; Moussa Lo |
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Title |
Towards an ontology for an epidemiological monitoring system |
Type |
Conference Article |
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Year |
2012 |
Publication |
ISCRAM 2012 Conference Proceedings – 9th International Conference on Information Systems for Crisis Response and Management |
Abbreviated Journal |
ISCRAM 2012 |
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Keywords |
Disease control; Information systems; Disease spreading; Early prediction; Monitoring system; Ontological modeling; Qualitative approach; Quantitative approach; Risk predictions; Simulation; Monitoring |
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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. |
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Address |
LANI, Université Gaston Berger, B.P. 234, Saint-Louis, Senegal; LIM and BIO, Université Paris 13, 74 rue Marcel Cachin, 93017 Bobigny, France |
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Thesis |
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Publisher |
Simon Fraser University |
Place of Publication |
Vancouver, BC |
Editor |
L. Rothkrantz, J. Ristvej, Z.Franco |
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Language |
English |
Summary Language |
English |
Original Title |
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Series Editor |
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Series Title |
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Abbreviated Series Title |
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Series Volume |
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Series Issue |
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Edition |
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ISSN |
2411-3387 |
ISBN |
9780864913326 |
Medium |
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Track |
Analytical Modelling and Simulation |
Expedition |
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Conference |
9th International ISCRAM Conference on Information Systems for Crisis Response and Management |
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Notes |
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Approved |
no |
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Call Number |
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Serial |
86 |
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