Identification of terms for detecting early signals of emerging infectious disease outbreaks on the web

Author:

Arsevska ElenaORCID,Roche MathieuORCID,Hendrikx Pascal,Chavernac David,Falala Sylvain,Lancelot Renaud,Dufour Barbara

Funder

French Ministry of Agriculture, Food and Forestry (DGAL)

French Agricultural Research Centre for International Development (Cirad)

SONGES Project

Publisher

Elsevier BV

Subject

Horticulture,Computer Science Applications,Agronomy and Crop Science,Forestry

Reference51 articles.

1. Adebayo, S., 2013. Evolving epidemic intelligence: towards improved health events detection over social media streams. Master dissertation. University St Andrews.

2. Comparison of classification algorithms to predict outcomes of feedlot cattle identified and treated for bovine respiratory disease;Amrine;Comput. Electron. Agri.,2014

3. Mining free-text medical records for companion animal enteric syndrome surveillance;Anholt;Prev. Vet. Med.,2014

4. Arsevska, E., Roche, M., Lancelot, R., Hendrikx, P., Dufour, B., 2014. Exploiting textual source information for epidemiosurveillance. In: Clos, B.S., et al. (Ed.). MTSR 2014: 8th Metadata and Semantics Research Conference, Springer International Publishing Switzerland, pp. 359–361. doi: 10.13140/2.1.4049.1522.

5. Evaluation of epidemic intelligence systems integrated in the early alerting and reporting project for the detection of A/H5N1 influenza events;Barboza;PLoS ONE,2013

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