Evidence map›Paper›PMID 37542208›Full record

ArticleBMC public health2023

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

Timothee Dub, Henna Mäkelä, Esther Van Kleef, Agnes Leblond, Alizé Mercier, Viviane Hénaux, Fanny Bouyer, Aurelie Binot, Oumy Thiongane, Renaud Lancelot and 4 more

Abstract read
In one paragraph

Article in BMC public health, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

5 citing papers in PubMed.

  1. Review
  2. Article
  3. Integrating indicator-based and event-based surveillance data for risk mapping of West Nile virus, Europe, 2006 to 2021.Euro surveillance : bulletin Europeen sur les maladies transmissibles = European communicable disease bulletin · 2024
    Article
  4. Article
  5. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

14 authors.

Timothee Dub *Department of Health security, Finish Institute for Health and Welfare, Helsinki, Finland. Timothee.Dub@thl.fi.ORCID http://orcid.org/0000-0002-1819-518X
Henna Mäkelä *Department of Health security, Finish Institute for Health and Welfare, Helsinki, Finland.ORCID http://orcid.org/0000-0003-1784-8190
Esther Van KleefDepartment of Public Health, Institute of tropical medicine, Antwerp, Belgium.ORCID http://orcid.org/0000-0002-3312-7185
Agnes LeblondUMR EPIA, INRAE, VetAgro Sup, University of Lyon, Marcy l'Etoile, F-69280, France.ORCID http://orcid.org/0000-0001-9136-4544
Alizé MercierJoint 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.ORCID http://orcid.org/0000-0001-9818-4028
Viviane HénauxUnité 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.ORCID http://orcid.org/0000-0002-8630-3066
Fanny BouyerGroupe d'Expérimentation et de Recherche: Développement et Actions Locales (GERDAL), Angers, France.ORCID http://orcid.org/0000-0003-4415-8208
Aurelie BinotJoint 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.ORCID http://orcid.org/0000-0002-0295-4241
Oumy ThionganeJoint 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.ORCID http://orcid.org/0000-0003-3397-9684
Renaud LancelotJoint 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.ORCID http://orcid.org/0000-0002-5826-5242
Valentina DelconteOpenGeoHub foundation, Agro Business Park 10, Wageningen, The Netherlands.ORCID http://orcid.org/0000-0001-8484-6211
Lea ZamunerOpenGeoHub foundation, Agro Business Park 10, Wageningen, The Netherlands.ORCID http://orcid.org/0000-0002-0395-6011
Wim Van Bortel *Outbreak Research Team, Department of Biomedical Sciences, Institute of tropical medicine, Antwerp, Belgium.ORCID http://orcid.org/0000-0002-6644-518X
Elena Arsevska *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.ORCID http://orcid.org/0000-0002-6693-2316

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

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.

Indexed as

Disease OutbreaksAnimalsCross-Sectional StudiesHumansIntelligencePublic HealthSurveys and QuestionnairesEpidemic intelligenceEvent-based surveillanceIndicator-based surveillanceOutbreak detection

Identifiers

PMID37542208
PMCPMC10401758

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.