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


Journal

PloS one
ISSN: 1932-6203
Titre abrégé: PLoS One
Pays: United States
ID NLM: 101285081

Informations de publication

Date de publication:
2023
Historique:
received: 29 08 2022
accepted: 20 04 2023
medline: 7 9 2023
pubmed: 5 9 2023
entrez: 5 9 2023
Statut: epublish

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.

Identifiants

pubmed: 37669265
doi: 10.1371/journal.pone.0285341
pii: PONE-D-22-24102
pmc: PMC10479896
doi:

Types de publication

Journal Article Research Support, Non-U.S. Gov't

Langues

eng

Sous-ensembles de citation

IM

Pagination

e0285341

Informations de copyright

Copyright: © 2023 Valentin et al. This is an open access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.

Déclaration de conflit d'intérêts

The authors have declared that no competing interests exist.

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Auteurs

Sarah Valentin (S)

Joint Research Unit Animal, Health, Territories, Risks, Ecosystems (UMR ASTRE), French Agricultural Research Centre for International Development (CIRAD), National Research Institute for Agriculture, Food and Environment (INRAE), Montpellier, France.
Joint Research Unit Land, Environment, Remote Sensing and Spatial Information (UMR TETIS), Université de Montpellier, AgroParisTech, French Agricultural Research Centre for International Development (CIRAD), French National Centre for Scientific Research (CNRS), National Research Institute for Agriculture, Food and Environment (INRAE), Montpellier, France.
French Agricultural Research Centre for International Development (CIRAD), Montpellier, France.
Département de biologie, Université de Sherbrooke, Sherbrooke, Canada.

Bahdja Boudoua (B)

Joint Research Unit Animal, Health, Territories, Risks, Ecosystems (UMR ASTRE), French Agricultural Research Centre for International Development (CIRAD), National Research Institute for Agriculture, Food and Environment (INRAE), Montpellier, France.
Joint Research Unit Land, Environment, Remote Sensing and Spatial Information (UMR TETIS), Université de Montpellier, AgroParisTech, French Agricultural Research Centre for International Development (CIRAD), French National Centre for Scientific Research (CNRS), National Research Institute for Agriculture, Food and Environment (INRAE), Montpellier, France.

Kara Sewalk (K)

Computational Epidemiology Group, Boston Children's Hospital, Boston, MA, United States of America.

Nejat Arınık (N)

Joint Research Unit Land, Environment, Remote Sensing and Spatial Information (UMR TETIS), Université de Montpellier, AgroParisTech, French Agricultural Research Centre for International Development (CIRAD), French National Centre for Scientific Research (CNRS), National Research Institute for Agriculture, Food and Environment (INRAE), Montpellier, France.

Mathieu Roche (M)

Joint Research Unit Animal, Health, Territories, Risks, Ecosystems (UMR ASTRE), French Agricultural Research Centre for International Development (CIRAD), National Research Institute for Agriculture, Food and Environment (INRAE), Montpellier, France.
Joint Research Unit Land, Environment, Remote Sensing and Spatial Information (UMR TETIS), Université de Montpellier, AgroParisTech, French Agricultural Research Centre for International Development (CIRAD), French National Centre for Scientific Research (CNRS), National Research Institute for Agriculture, Food and Environment (INRAE), Montpellier, France.
French Agricultural Research Centre for International Development (CIRAD), Montpellier, France.

Renaud Lancelot (R)

Joint Research Unit Animal, Health, Territories, Risks, Ecosystems (UMR ASTRE), French Agricultural Research Centre for International Development (CIRAD), National Research Institute for Agriculture, Food and Environment (INRAE), Montpellier, France.
French Agricultural Research Centre for International Development (CIRAD), Montpellier, France.

Elena Arsevska (E)

Joint Research Unit Animal, Health, Territories, Risks, Ecosystems (UMR ASTRE), French Agricultural Research Centre for International Development (CIRAD), National Research Institute for Agriculture, Food and Environment (INRAE), Montpellier, France.
French Agricultural Research Centre for International Development (CIRAD), Montpellier, France.

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Classifications MeSH