Publications des agents du Cirad


Exploiting textual source information for epidemiosurveillance

Arsevska E., Roche M., Lancelot R., Hendrikx P., Dufour B.. 2014. In : Closs Sissi (ed.), Studer Rudi (ed.), Garoufallou Emmanouel (ed.), Sicilia Miguel-Angel (ed.). Metadata and semantics research : 8th Research Conference, MTSR 2014, Karlsruhe, Germany, November 27-29, 2014, Proceedings. Cham : Springer International Publishing, p. 359-361. (Communications in Computer and Information Science, 478). International Conference on Metadata and Semantics Research Conference. 8, 2014-11-27/2014-11-29, Karlsruhe (Allemagne).

In recent years as a complement to the traditional surveillance reporting systems there is a great interest in developing methodologies for early detection of potential health threats from unstructured text present on the Internet. In this context, we examined the relevance of the combination of expert knowledge and automatic term extraction in the creation of appropriate Internet search queries for the acquisition of disease outbreak news. We propose a measure that is the number of relevant disease outbreak news detected in function of the terms automatically extracted from a set of example Google and PubMED corpora. Due to the recent emergence we have used the African swine fever as a disease example.

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