Elaboration of a new framework for fine-grained epidemiological annotation

Sarah Valentin; Elena Arsevska; Aline Vilain; Valérie De Waele; Renaud Lancelot; Mathieu Roche

doi:10.1038/s41597-022-01743-2

Scientific Data (Oct 2022)

Elaboration of a new framework for fine-grained epidemiological annotation

Sarah Valentin,
Elena Arsevska,
Aline Vilain,
Valérie De Waele,
Renaud Lancelot,
Mathieu Roche

Affiliations

Sarah Valentin: UMR TETIS (Land, Environment, Remote Sensing and Spatial Information), University of Montpellier, AgroParisTech, CIRAD, CNRS, INRAE
Elena Arsevska: UMR ASTRE (Unit for Animals, Health, Territories, Risks and Ecosystems), University of Montpellier, CIRAD, INRAE
Aline Vilain: Veterinary Epidemiology Service, Departement of Epidemiology and Public Health, Sciensano
Valérie De Waele: Department of Environmental and Agricultural Studies, Public Service of Wallonia
Renaud Lancelot: UMR ASTRE (Unit for Animals, Health, Territories, Risks and Ecosystems), University of Montpellier, CIRAD, INRAE
Mathieu Roche: UMR TETIS (Land, Environment, Remote Sensing and Spatial Information), University of Montpellier, AgroParisTech, CIRAD, CNRS, INRAE

DOI: https://doi.org/10.1038/s41597-022-01743-2
Journal volume & issue: Vol. 9, no. 1
pp. 1 – 12

Abstract

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Measurement(s) Precision/Recall • Annotator aggreement Technology Type(s) Expert annotation • Kappa’s coefficient • Natural Language Processing Sample Characteristic - Organism Animal • African swine fever virus • Avian influenza • Foot-and-mouth disease virus • Bluetongue virus • Bovine spongiform encephalopathy Sample Characteristic - Environment Animal infectious diseases

Published in Scientific Data

ISSN: 2052-4463 (Online)
Publisher: Nature Portfolio
Country of publisher: United Kingdom
LCC subjects: Science
Website: https://www.nature.com/sdata/

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