Epidemic intelligence activities among national public and animal health agencies: a European cross-sectional study.


Journal

BMC public health
ISSN: 1471-2458
Titre abrégé: BMC Public Health
Pays: England
ID NLM: 100968562

Informations de publication

Date de publication:
04 08 2023
Historique:
received: 08 02 2023
accepted: 26 07 2023
medline: 7 8 2023
pubmed: 5 8 2023
entrez: 4 8 2023
Statut: epublish

Résumé

Epidemic Intelligence (EI) encompasses all activities related to early identification, verification, analysis, assessment, and investigation of health threats. It integrates an indicator-based (IBS) component using systematically collected surveillance data, and an event-based component (EBS), using non-official, non-verified, non-structured data from multiple sources. We described current EI practices in Europe by conducting a survey of national Public Health (PH) and Animal Health (AH) agencies. We included generic questions on the structure, mandate and scope of the institute, on the existence and coordination of EI activities, followed by a section where respondents provided a description of EI activities for three diseases out of seven disease models. Out of 81 gatekeeper agencies from 41 countries contacted, 34 agencies (42%) from 26 (63%) different countries responded, out of which, 32 conducted EI activities. Less than half (15/32; 47%) had teams dedicated to EI activities and 56% (18/34) had Standard Operating Procedures (SOPs) in place. On a national level, a combination of IBS and EBS was the most common data source. Most respondents monitored the epidemiological situation in bordering countries, the rest of Europe and the world. EI systems were heterogeneous across countries and diseases. National IBS activities strongly relied on mandatory laboratory-based surveillance systems. The collection, analysis and interpretation of IBS information was performed manually for most disease models. Depending on the disease, some respondents did not have any EBS activity. Most respondents conducted signal assessment manually through expert review. Cross-sectoral collaboration was heterogeneous. More than half of the responding institutes collaborated on various levels (data sharing, communication, etc.) with neighbouring countries and/or international structures, across most disease models. Our findings emphasise a notable engagement in EI activities across PH and AH institutes of Europe, but opportunities exist for better integration, standardisation, and automatization of these efforts. A strong reliance on traditional IBS and laboratory-based surveillance systems, emphasises the key role of in-country laboratories networks. EI activities may benefit particularly from investments in cross-border collaboration, the development of methods that can automatise signal assessment in both IBS and EBS data, as well as further investments in the collection of EBS data beyond scientific literature and mainstream media.

Identifiants

pubmed: 37542208
doi: 10.1186/s12889-023-16396-y
pii: 10.1186/s12889-023-16396-y
pmc: PMC10401758
doi:

Types de publication

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

Langues

eng

Sous-ensembles de citation

IM

Pagination

1488

Informations de copyright

© 2023. BioMed Central Ltd., part of Springer Nature.

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Auteurs

Timothee Dub (T)

Department of Health security, Finish Institute for Health and Welfare, Helsinki, Finland. Timothee.Dub@thl.fi.

Henna Mäkelä (H)

Department of Health security, Finish Institute for Health and Welfare, Helsinki, Finland.

Esther Van Kleef (E)

Department of Public Health, Institute of tropical medicine, Antwerp, Belgium.

Agnes Leblond (A)

UMR EPIA, INRAE, VetAgro Sup, University of Lyon, Marcy l'Etoile, F-69280, France.

Alizé Mercier (A)

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.

Viviane Hénaux (V)

Unité Epidémiologie et appui à la surveillance, Université de Lyon-Agence nationale de sécurité sanitaire de l'alimentation, de l'environnement et du travail (Anses), Lyon, France.

Fanny Bouyer (F)

Groupe d'Expérimentation et de Recherche: Développement et Actions Locales (GERDAL), Angers, France.

Aurelie Binot (A)

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.

Oumy Thiongane (O)

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.

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.

Valentina Delconte (V)

OpenGeoHub foundation, Agro Business Park 10, Wageningen, The Netherlands.

Lea Zamuner (L)

OpenGeoHub foundation, Agro Business Park 10, Wageningen, The Netherlands.

Wim Van Bortel (W)

Outbreak Research Team, Department of Biomedical Sciences, Institute of tropical medicine, Antwerp, Belgium.
Unit of Entomology, Department of Biomedical Sciences, Institute of tropical medicine, Antwerp, Belgium.

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.

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