Evidence map›Paper›PMID 38496337›Full record

ArticleOne health (Amsterdam, Netherlands)2024

Implementation of One Health surveillance systems: Opportunities and challenges - lessons learned from the OH-EpiCap application.

Henok Ayalew Tegegne, Frederick T A Freeth, Carlijn Bogaardt, Emma Taylor, Johana Reinhardt, Lucie Collineau, Joaquin M Prada, Viviane Hénaux

Abstract read
In one paragraph

Article in One health (Amsterdam, Netherlands), 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 18 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
18citing papers in PubMed, 1 pooled it
–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

18 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
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  11. A framework for facilitating sustainable One Health collaboration across sectors at the national level in the European Union/European Economic Area.Euro surveillance : bulletin Europeen sur les maladies transmissibles = European communicable disease bulletin · 2025
    Article
  12. [Integration of Microbiome Research and the One Health Approach Promotes Innovation and Development in Public Health Laboratory Sciences].Sichuan da xue xue bao. Yi xue ban = Journal of Sichuan University. Medical science edition · 2025
    Article
  13. Climate Change and Zoonotic Disease Outbreaks: Emerging Evidence from Epidemiology and Toxicology.International journal of environmental research and public health · 2025
    Review
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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

8 authors.

Henok Ayalew TegegneUniversity of Lyon - ANSES, Laboratory of Lyon, Epidemiology and Support to Surveillance Unit, 69007 Lyon, France.
Frederick T A FreethUniversity of Surrey, School of Veterinary Medicine, Guildford, GU2 7XH Surrey, United Kingdom.
Carlijn BogaardtUniversity of Surrey, School of Veterinary Medicine, Guildford, GU2 7XH Surrey, United Kingdom.
Emma TaylorUniversity of Surrey, School of Veterinary Medicine, Guildford, GU2 7XH Surrey, United Kingdom.
Johana ReinhardtANSES, Risk Assessment Department, Animal Health, Welfare, Feed and Vectors Risk Assessment Unit, 94700 Maisons-Alfort, France.
Lucie CollineauUniversity of Lyon - ANSES, Laboratory of Lyon, Epidemiology and Support to Surveillance Unit, 69007 Lyon, France.
Joaquin M PradaUniversity of Surrey, School of Veterinary Medicine, Guildford, GU2 7XH Surrey, United Kingdom.
Viviane HénauxUniversity of Lyon - ANSES, Laboratory of Lyon, Epidemiology and Support to Surveillance Unit, 69007 Lyon, France.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

As the complexity of health systems has increased over time, there is an urgent need for developing multi-sectoral and multi-disciplinary collaborations within the domain of One Health (OH). Despite the efforts to promote collaboration in health surveillance and overcome professional silos, implementing OH surveillance systems in practice remains challenging for multiple reasons. In this study, we describe the lessons learned from the evaluation of OH surveillance using OH-EpiCap (an online evaluation tool for One Health epidemiological surveillance capacities and capabilities), the challenges identified with the implementation of OH surveillance, and the main barriers that contribute to its sub-optimal functioning, as well as possible solutions to address them. We conducted eleven case studies targeting the multi-sectoral surveillance systems for antimicrobial resistance in Portugal and France,

Indexed as

Integrated surveillanceMulti-sectoral collaborationOne healthOne health surveillanceSurveillance evaluation

Identifiers

PMID38496337
PMCPMC10940803

What OpenQuestion holds

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LicenceCC BY-NC
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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.