Articles
A pipeline for processing web data for anticipating plant health risks. Methodology developed by the ESV Platform in the framework of "Global Health Monitoring"
Published : 1 November 2023
Abstract
The context of climate change and the intensification of international trade leads to increasing risks for plant health as well as rapid changes in the latter. To improve the information available to those responsible for managing health risks, the French Epidemiological Plant Health Surveillance Plateform (named Plateforme ESV in french) has set up a global health monitoring system ( named VSI in french) that synthetises items of interest in the public press. This monitoring relays links media and scientific information allowing to identify and/or monitor outbreaks progress in a given geographical area, as well as scientific progress of operational interest. To obtain these goals, the ESV Platform has developed its own monitoring method in which the collecting part is mainly based on web scraping. To process articles, the pipeline is semi-automatic, combining computer codes, information systems and human contributions, leading to their dissemination in newsletters. To date, the articles disseminated by the VSI of the ESV Platform make up about 1% of all the articles collected. This rate of pertinence is linked to the methods used. In the future, one of the challenges of the pipeline will be to improve article collection and sorting process without degrading information quality collected and then disseminated. To do this, the VSI wants to focus on developing operational computing tools, in particular resulting from research activities.
References
- Amar, H. et Dupuy, C. (2020). Les plateformes d’épidémiosurveillance : un concept novateur au service de l’efficience des dispositifs de surveillance. Bulletin de l’Académie Vétérinaire de France, 173, pp. 200-5. Disponible sur : https://doi.org/10.3406/bavf.2020.70904
- Ansoff, H. I. (1975). Managing Strategic Surprise by Response to Weak Signals. California Management Review, 18(2), pp. 21-33. Disponible sur : https://doi.org/10.2307/41164635
- Antoniou, P. H. et Sullivan, P. E. (dir.). (2006). The Igor Ansoff Anthology. Charleston (SC) : BookSurge Publishing.
- Alomar, O., Batlle, A., Brunetti, J. M., García, R., Gil, R., Granollers, T., et al. (2016). Development and testing of the media monitoring tool MedISys for the monitoring, early identification and reporting of existing and emerging plant health threats. EFSA supporting publication, 13(12), 81 pp. Disponible sur : https://doi.org/10.2903/sp.efsa.2016.EN-1118
- Eilstein, D., Salines, G. et Desenclos, J. C. (2012). Veille sanitaire : outils, fonctions, processus. Revue d’épidémiologie et de Santé Publique, 60(5), p. 401-11. Disponible sur : https://doi.org/10.1016/j.respe.2012.03.005
- Lannou, C., Rasplus, J.-Y., Soubeyrand, S., Gautier, M., Rossi, J.-P. (dir.). (2023). Crises sanitaires en agriculture : Les espèces invasives sous surveillance. Versailles : Editions Quæ.
- Morris, C. E., Géniaux, G., Nédellec, C., Sauvion, N. et Soubeyrand, S. (2022). One Health concepts and challenges for surveillance, forecasting, and mitigation of plant disease beyond the traditional scope of crop production. Plant Pathology, 71, pp. 86-97. Disponible sur : https://doi.org/10.1111/ppa.13446
- Tateosian, L. G., Saffer, A., Walden-Schreiner, C. et Shukunobe, M. (2023). Plant pest invasions, as seen through news and social media. Computers, Environment and Urban Systems, 100, p. 101922. Disponible sur : https://doi.org/10.1016/j.compenvurbsys.2022.101922
- Valentin, S., Arsevska, E., Falala, S., De Goër, J., Lancelot, R., Mercier, A., et al. (2020). PADI-web: A multilingual event-based surveillance system for monitoring animal infectious diseases. Computers and Electronics in Agriculture, 169, 105163. Disponible sur : https://doi.org/10.1016/j.compag.2019.105163
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