Evidence map›Paper›PMID 41938085›Full record

ArticleOne health (Amsterdam, Netherlands)2026

Epidemiology of human and animal brucellosis in Kenya: A One Health meta-regression and network analysis.

Martin Wainaina, Joseph Samuel Kimatu, Benson Rukwaro, Elizabeth Anne Jessie Cook

Abstract read
In one paragraph

Article in One health (Amsterdam, Netherlands), 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper, 1 of them a synthesis that pooled it.

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

1 citing paper in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
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

4 authors.

Martin WainainaDepartment of Biological Safety, German Federal Institute for Risk Assessment, Berlin, Germany.
Joseph Samuel KimatuInternational Livestock Research Institute, Nairobi, Kenya.
Benson RukwaroInternational Livestock Research Institute, Nairobi, Kenya.
Elizabeth Anne Jessie CookInternational Livestock Research Institute, Nairobi, Kenya.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Brucellosis is a prioritised zoonotic disease in Kenya, but an in-depth quantitative review of its presence in humans and animals is currently lacking. Methods: Systematic literature searches were performed in African Journals Online (AJOL), Embase, PubMed, Scopus, and Web of Science databases. Relevant data were extracted from prevalence studies and random-effects meta-analyses were applied to estimate pooled prevalence by sample type and diagnostic methods for five key species. Between-study heterogeneity was explored using meta-regression models. A seroprevalence-weighted bipartite network analysis was used to link brucellosis research on various host species to livelihood zones in Kenya. Results: We found 65 brucellosis prevalence studies that increased with time, spanning 1969-2024 (55 years) and consisting of samples from 20,944 humans, 57,340 domestic animals, 727 wildlife from 16 species, and 235 Hippoboscid flies ( Conclusion: There is widespread brucellosis, especially in pastoral and agropastoral systems. Current published evidence has considerable geographic gaps and under-represents wildlife. The use of probability sampling approaches in future epidemiological studies, where possible, could ensure results are more representative of the population. A One Health approach integrating human, livestock, and wildlife populations is required in future studies for comprehensive risk assessment of brucellosis in Kenya. Lastly, continued resource allocation towards brucellosis prevention and control is required to lower disease presence.

Indexed as

BrucellosisKenyaMeta-analysisNetwork analysisOne HealthSurveillance

Identifiers

PMID41938085
PMCPMC13049966

What OpenQuestion holds

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LicenceCC BY
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Registered trials

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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.