Evidence map›Paper›PMID 40589823›Full record

ArticleFrontiers in public health2025

One health surveillance: linking human and animal rabies surveillance data in Kenya.

Samuel Kahariri, Lian F Thomas, Bernard Bett, Marianne Mureithi, Brian Njuguna, Nyamai Mutono, Thumbi Mwangi

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Article in Frontiers in public health, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

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0cells of the map it votes in
3citing papers in PubMed
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1 · What the graph read from it

What it found

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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

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3 · Its place in the literature

Who cites it

3 citing papers in PubMed.

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4 · The record

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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

7 authors.

Samuel KahaririDirectorate of Livestock Policy, Research and Regulations, Nairobi, Kenya.
Lian F ThomasInternational Livestock Research Institute, Nairobi, Kenya.
Bernard BettInternational Livestock Research Institute, Nairobi, Kenya.
Marianne MureithiFaculty of Health Sciences, Department of Medical Microbiology and Immunology, University of Nairobi, Nairobi, Kenya.
Brian NjugunaCentre for Epidemiological Modelling and Analysis, University of Nairobi, Nairobi, Kenya.
Nyamai MutonoCentre for Epidemiological Modelling and Analysis, University of Nairobi, Nairobi, Kenya.
Thumbi MwangiCentre for Epidemiological Modelling and Analysis, University of Nairobi, Nairobi, Kenya.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Introduction: Rabies poses a significant public health and economic challenge in Kenya. The Kenya rabies elimination strategy identifies surveillance as a key pillar to achieve the targets of ending human deaths from rabies by 2030. Here we investigated the utility of the national human and animal rabies surveillance data to provide robust surveillance data to guide the Kenya rabies elimination program. Methods: We conducted a retrospective analysis of the official rabies data obtained from the national human and animal health surveillance systems between 2017 and 2023. We obtained data on bites, cases, and deaths in dogs and humans due to rabies. We estimated incidences and tested the relationships between rabies variables in human and dogs as a proxy for robust data availability. Results: On average, there were 162 cases and 84 deaths in dogs, while in humans, there were 53 cases and 6 deaths. We found positive correlations between dog bites and cases of dog rabies [RR = 1.33, 95% credible interval (CI): 1.16, 1.54], deaths and rabies cases in dogs (RR = 1.09, 95% CI: 1.05, 1.14) and death cases and dog bites (RR = 1.46, 95% CI: 1.06, 1.98). However, relationships between rabies cases and dog bites in humans were not statistically significant (RR = 1.00, 95% CI: 0.98, 1.03), whereas rabies cases in dogs and humans were negatively correlated (RR = 0.82, 95% CI: 0.68, 0.94). Discussion: The findings indicate that Kenya's rabies surveillance system effectively captures trends in dog rabies but has gaps in human rabies case reporting. The weak relationship between rabies cases and dog bites in humans and the negative correlation between rabies cases in dogs and humans point to potential underreporting of human cases, that could be possibly driven by misdiagnosis or limited access to healthcare, or effective post-exposure treatment. Conclusion: Understanding these relationships is critical for improving the surveillance systems that can effectively support the rabies elimination program.

Indexed as

Dog DiseasesOne HealthPopulation SurveillanceRabiesAnimalsBites and StingsDogsHumansIncidenceKenyaRetrospective StudiesBayesiancorrelationone healthrabiessurveillancezoonotic

Identifiers

PMID40589823
PMCPMC12206715

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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.