Evidence map›Paper›PMID 42699664›Full record

ArticleScience in One Health2026

Spatial heterogeneity of Rift Valley fever burden in Kenya: a 10-year One Health zDALY evaluation.

Lilian Owino, Bryan O Nyawanda, Samuel Kahariri, Penelope Vounatsou

Abstract read
In one paragraph

Article in Science in One Health, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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.

Lilian OwinoSwiss Tropical and Public Health Institute, Kreuzstrasse 2, 4123 Allschwil, Switzerland.
Bryan O NyawandaSwiss Tropical and Public Health Institute, Kreuzstrasse 2, 4123 Allschwil, Switzerland.
Samuel KahaririState Department for Livestock Development, Nairobi, Kenya.
Penelope VounatsouSwiss Tropical and Public Health Institute, Kreuzstrasse 2, 4123 Allschwil, Switzerland.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Rift Valley fever (RVF) is an endemic zoonotic disease in Kenya, with recurring outbreaks that affect both humans and livestock. Despite its impact, the full burden of RVF remains poorly quantified. This study presents the first integrated and spatially disaggregated estimates of RVF burden in Kenya using a One Health approach. Methods: We quantified the national and subnational burden of RVF in Kenya from 2014 to 2024 using the zoonotic disability-adjusted life years (zDALYs) framework, which combines human health loss (disability-adjusted life years [DALYs]) and livestock-related losses (measured as animal loss equivalents [ALE]). Estimates were based on reported RVF cases, livestock mortality, abortions, and treatment costs. Monte Carlo simulations were used to generate 95% uncertainty intervals ( Results: The burden of RVF (zDALY per 1000 persons) varied across the counties, with the highest burden observed in northern Kenya. The highest burden was recorded in Marsabit (24.67, 95% Conclusion: This study quantitatively demonstrates the substantial burden of RVF in Kenya across human and livestock populations. The findings can guide targeted risk assessments, preparedness planning, and cost-effective One Health strategies for future RVF outbreaks.

Indexed as

Burden of diseaseLivestock economic lossesOne HealthRift Valley feverRift Valley fever virusZoonotic disability-adjusted life years

Identifiers

PMID42699664
PMCPMC13544111

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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.