Evidence map›Paper›PMID 41704813›Full record

ArticleFrontiers in veterinary science2026

Data sharing for zoonoses surveillance in Senegal: challenges and opportunities.

Khady Diouf, Marion Bordier, Jean Hugues Caffin, Assane Gueye Fall, Mame Thierno Bakhoum, Thomas-Julian Omoijade Irabor, Nicolas Antoine-Moussiaux, Rianatou Bada-Alambedji

Abstract read
In one paragraph

Article in Frontiers in veterinary science, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. 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

8 authors.

Khady DioufNational Laboratory for Livestock and Veterinary Research, Senegalese Institute of Agricultural Research, Dakar, Senegal.
Marion BordierNational Laboratory for Livestock and Veterinary Research, Senegalese Institute of Agricultural Research, Dakar, Senegal.
Jean Hugues CaffinASTRE, University of Montpellier, CIRAD, INRAE, Montpellier, France.
Assane Gueye FallNational Laboratory for Livestock and Veterinary Research, Senegalese Institute of Agricultural Research, Dakar, Senegal.
Mame Thierno BakhoumNational Laboratory for Livestock and Veterinary Research, Senegalese Institute of Agricultural Research, Dakar, Senegal.
Thomas-Julian Omoijade IraborFundamental and Applied Research for Animals and Health, University of Liege, Liege, Belgium.
Nicolas Antoine-Moussiaux *Fundamental and Applied Research for Animals and Health, University of Liege, Liege, Belgium.
Rianatou Bada-Alambedji *Department of Immunology and Infectious Pathology (Microbiology), Interstate School of Veterinary Science and Medicine, Dakar, Senegal.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Introduction: Zoonoses are a growing threat to global health, requiring effective integrated surveillance. Such surveillance relies on the structured and secure sharing of data between human, animal and environmental health stakeholders. In Senegal, despite advances in the One Health approach, surveillance data sharing remains limited. This study aims to analyze challenges related to surveillance data sharing in Senegal and identify ways to improve the situation. Methods: This study adopted an inductive qualitative approach to explore the challenges and opportunities of data sharing through 61 semi-structured interviews with three categories of key stakeholders: (i) system managers, (ii) initiative holders, and (iii) community actors. A thematic analysis was applied to the participants' discourse to identify the main issues and opportunities for improvement. Data were triangulated by cross-referencing interview contents with institutional documents and previous studies to ensure the robustness of the results. Results: Three significant challenges are holding back data sharing for zoonosis surveillance: (i) limited technical and organizational capacities, which compromise interoperability, accessibility, and data utilization; (ii) contrasting attitudes among stakeholders, between motivation and mistrust or reluctance, linked to transparency and recognition concerns; and (iii) fragmented governance, characterized by the absence of a clear regulatory framework, a lack of coordination, and insufficient sustainable funding. However, opportunities exist, including stakeholder motivation when collaboration is recognized and rewarding, and existing institutional frameworks that could be strengthened. Conclusion: To advance data sharing and strengthen zoonotic surveillance in Senegal, the study highlights the necessity to harmonize existing surveillance systems, reinforce capacities, and establish collaborative governance. These efforts should address stakeholders' concerns while supporting their motivation to contribute to an integrated surveillance system.

Indexed as

datagovernanceone healthSenegalsurveillancezoonoses

Identifiers

PMID41704813
PMCPMC12908583

What OpenQuestion holds

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LicenceCC BY
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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.