Elaboration of a new framework for fine-grained epidemiological annotation.
Journal
Scientific data
ISSN: 2052-4463
Titre abrégé: Sci Data
Pays: England
ID NLM: 101640192
Informations de publication
Date de publication:
26 10 2022
26 10 2022
Historique:
received:
10
03
2022
accepted:
03
10
2022
entrez:
26
10
2022
pubmed:
27
10
2022
medline:
29
10
2022
Statut:
epublish
Résumé
Event-based surveillance (EBS) gathers information from a variety of data sources, including online news articles. Unlike the data from formal reporting, the EBS data are not structured, and their interpretation can overwhelm epidemic intelligence (EI) capacities in terms of available human resources. Therefore, diverse EBS systems that automatically process (all or part of) the acquired nonstructured data from online news articles have been developed. These EBS systems (e.g., GPHIN, HealthMap, MedISys, ProMED, PADI-web) can use annotated data to improve the surveillance systems. This paper describes a framework for the annotation of epidemiological information in animal disease-related news articles. We provide annotation guidelines that are generic and applicable to both animal and zoonotic infectious diseases, regardless of the pathogen involved or its mode of transmission (e.g., vector-borne, airborne, by contact). The framework relies on the successive annotation of all the sentences from a news article. The annotator evaluates the sentences in a specific epidemiological context, corresponding to the publication date of the news article.
Identifiants
pubmed: 36289243
doi: 10.1038/s41597-022-01743-2
pii: 10.1038/s41597-022-01743-2
pmc: PMC9606314
doi:
Types de publication
Dataset
Journal Article
Langues
eng
Sous-ensembles de citation
IM
Pagination
655Subventions
Organisme : EC | Horizon 2020 Framework Programme (EU Framework Programme for Research and Innovation H2020)
ID : 874850
Organisme : EC | Horizon 2020 Framework Programme (EU Framework Programme for Research and Innovation H2020)
ID : 874850
Organisme : EC | Horizon 2020 Framework Programme (EU Framework Programme for Research and Innovation H2020)
ID : 874850
Organisme : EC | Horizon 2020 Framework Programme (EU Framework Programme for Research and Innovation H2020)
ID : 874850
Organisme : Fonds De La Recherche Scientifique - FNRS (Belgian National Fund for Scientific Research)
ID : contractRT 18/2 MORISKIN 1
Organisme : Fonds De La Recherche Scientifique - FNRS (Belgian National Fund for Scientific Research)
ID : contractRT 18/2 MORISKIN 1
Informations de copyright
© 2022. The Author(s).
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