Dissemination of information in event-based surveillance, a case study of Avian Influenza

Valentin Sarah, Boudoua Bahdja, Sewalk Kara, Arinik Nejat, Roche Mathieu, Lancelot Renaud, Arsevska Elena. 2023. Dissemination of information in event-based surveillance, a case study of Avian Influenza. PloS One, 18 (9):e0285341, 18 p.

Url - jeu de données - Entrepôt autre : https://doi.org/10.5281/zenodo.6908000 / Url - autres données associées : https://github.com/SarahVal/EBS-network

Liste HCERES des revues (en SHS) : oui

Thème(s) HCERES des revues (en SHS) : Psychologie-éthologie-ergonomie; Staps

Résumé : Event-Based Surveillance (EBS) tools, such as HealthMap and PADI-web, monitor online news reports and other unofficial sources, with the primary aim to provide timely information to users from health agencies on disease outbreaks occurring worldwide. In this work, we describe how outbreak-related information disseminates from a primary source, via a secondary source, to a definitive aggregator, an EBS tool, during the 2018/19 avian influenza season. We analysed 337 news items from the PADI-web and 115 news articles from HealthMap EBS tools reporting avian influenza outbreaks in birds worldwide between July 2018 and June 2019. We used the sources cited in the news to trace the path of each outbreak. We built a directed network with nodes representing the sources (characterised by type, specialisation, and geographical focus) and edges representing the flow of information. We calculated the degree as a centrality measure to determine the importance of the nodes in information dissemination. We analysed the role of the sources in early detection (detection of an event before its official notification) to the World Organisation for Animal Health (WOAH) and late detection. A total of 23% and 43% of the avian influenza outbreaks detected by the PADI-web and HealthMap, respectively, were shared on time before their notification. For both tools, national and local veterinary authorities were the primary sources of early detection. The early detection component mainly relied on the dissemination of nationally acknowledged events by online news and press agencies, bypassing international reporting to the WAOH. WOAH was the major secondary source for late detection, occupying a central position between national authorities and disseminator sources, such as online news. PADI-web and HealthMap were highly complementary in terms of detected sources, explaining why 90% of the events were detected by only one of the tools. We show that current EBS tools can provide timely outbreak-related information and priority news sources to improve digital disease surveillance.

Mots-clés Agrovoc : surveillance épidémiologique, grippe aviaire

Mots-clés libres : Epidemiology, Infectious disease surveillance, Avian influenza, Artifical intelligence, Event-based surveillance

Classification Agris : L73 - Maladies des animaux
C30 - Documentation et information
U10 - Informatique, mathématiques et statistiques

Champ stratégique Cirad : CTS 4 (2019-) - Santé des plantes, des animaux et des écosystèmes

Agences de financement européennes : European Commission

Programme de financement européen : H2020

Projets sur financement : (EU) MOnitoring Outbreak events for Disease surveillance in a data science context

Auteurs et affiliations

• Valentin Sarah, CIRAD-ES-UMR TETIS (FRA) ORCID: 0000-0002-9028-681X
• Boudoua Bahdja, INRAE (FRA)
• Sewalk Kara, Boston Children's Hospital (USA)
• Arinik Nejat, INRAE (FRA)
• Roche Mathieu, CIRAD-ES-UMR TETIS (FRA) ORCID: 0000-0003-3272-8568
• Lancelot Renaud, CIRAD-BIOS-UMR ASTRE (REU)
• Arsevska Elena, CIRAD-BIOS-UMR ASTRE (FRA) ORCID: 0000-0002-6693-2316 - auteur correspondant

Source : Cirad-Agritrop (https://agritrop.cirad.fr/606214/)

Métriques

[ Page générée et mise en cache le 2024-04-26 ]