Evidence map›Paper›PMID 42547249›Full record

ArticleBMJ global health2026

Spatial exploration of the impact of cattle on risk of malarial infection using data from a cluster randomised trial.

Almudena Sanz Gutierrez, Rachel Otuko, Kexin Xie, Isaiah Omondi, Mercy Kariukiu, Paula Ruiz-Castillo, Caroline Wanjiku, Aurelia Brazeal, Mwanajuma Ngama, Truphena Onyango and 17 more

Abstract read
In one paragraph

Article in BMJ global 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
–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

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

27 authors.

Almudena Sanz GutierrezHospital Clínic - Universitat de Barcelona, ISGlobal, Barcelona, Spain almudenasg@vt.edu.ORCID 0009-0003-8262-5951
Rachel OtukoKEMRI-Wellcome Trust Research Programme, Kilifi, Kenya.
Kexin XieDepartment of Statistics, College of Science, Virginia Tech, Blacksburg, Virginia, USA.
Isaiah OmondiKEMRI-Wellcome Trust Research Programme, Kilifi, Kenya.
Mercy KariukiuCentre For Vector Diseases Control, Kenya Medical Research Institute, Kwale, Kenya.
Paula Ruiz-CastilloHospital Clínic - Universitat de Barcelona, ISGlobal, Barcelona, Spain.
Caroline WanjikuKEMRI-Wellcome Trust Research Programme, Kilifi, Kenya.
Aurelia BrazealKEMRI-Wellcome Trust Research Programme, Kilifi, Kenya.
Mwanajuma NgamaKEMRI-Wellcome Trust Research Programme, Kilifi, Kenya.
Truphena OnyangoKEMRI-Wellcome Trust Research Programme, Kilifi, Kenya.
Karisa KazunguKEMRI-Wellcome Trust Research Programme, Kilifi, Kenya.
Mary MaelHospital Clínic - Universitat de Barcelona, ISGlobal, Barcelona, Spain.
Winnie WangariKEMRI-Wellcome Trust Research Programme, Kilifi, Kenya.
Khadija NuruKEMRI-Wellcome Trust Research Programme, Kilifi, Kenya.
Isaac RingeraKEMRI-Wellcome Trust Research Programme, Kilifi, Kenya.
Jamal MbarakCentre For Vector Diseases Control, Kenya Medical Research Institute, Kwale, Kenya.
Shadrack MrambaCentre For Vector Diseases Control, Kenya Medical Research Institute, Kwale, Kenya.
Yegon KibetCentre For Vector Diseases Control, Kenya Medical Research Institute, Kwale, Kenya.
Naomi NyamburaCentre For Vector Diseases Control, Kenya Medical Research Institute, Kwale, Kenya.
Scholastica WanjiruKEMRI-Wellcome Trust Research Programme, Kilifi, Kenya.
Felix HammannClinical Pharmacology and Toxicology, Department of General Internal Medicine, University of Bern, Inselspital University Hospital Bern, Bern, Switzerland.
Francisco SauteCentro de Investigação em Saúde de Manhiça, Manhica, Maputo Province, Mozambique.
Joseph MwangangiKEMRI-Wellcome Trust Research Programme, Kilifi, Kenya.
N Regina RabinovichHospital Clínic - Universitat de Barcelona, ISGlobal, Barcelona, Spain.
Marta MaiaKEMRI-Wellcome Trust Research Programme, Kilifi, Kenya.
Cassidy RistDepartment of Population Health Sciences, Virginia-Maryland College of Veterinary Medicine, Virginia Tech, Blacksburg, Virginia, USA.ORCID 0000-0002-7558-8094
Carlos ChaccourHospital Clínic - Universitat de Barcelona, ISGlobal, Barcelona, Spain.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

introductionIn the context of stalled progress in reducing malaria burden and ongoing efforts to develop novel vector control methods, there is ongoing debate about the impact of livestock on malaria transmission. Zooprophylaxis refers to the use of livestock as an alternate source of blood that diverts mosquito vectors away from humans, potentially reducing malaria transmission. However, conflicting evidence highlights the concept of zoopotentiation, where livestock may instead increase vector populations and enhance malaria transmission. Prior studies that explore these concepts have examined livestock as a household asset, which does not account for the geospatial effect of animals owned by neighbours around the home.

methodsWe implemented a novel spatial approach to explore the impact of cattle on the risk of malarial infection in coastal Kenya. Using data with high granularity from a recent randomised controlled trial, we measured the presence of animals at increasing concentric areas around the household. We fit binomial regression models with generalised estimating equations to explore how cattle density and cattle-to-human-ratio measures were related to malaria prevalence in children 5-15 years old, accounting for relevant environmental and socio-economic variables.

resultsOur findings show that cattle density measured at 400, 500, and 600 m around the household (ORs: 1.63, 95% CI 1.20 to 2.21; 1.84, 95% CI 1.21 to 2.80 and 2.04, 95% CI 1.13 to 3.67, respectively) and cattle-to-human ratio at 500 and 600 m (ORs: 2.73, 95% CI 1.45 to 5.41 and 2.32, 95% CI 1.11 to 4.86, respectively) are significantly related to higher odds of testing positive for malaria. We did not find a significant association at closer distances (<400 m) or when cattle were evaluated only as a household asset.

conclusionTo better understand the impact of livestock on malaria transmission and potentially develop vector control strategies that account for these impacts, future research should consider animals as an environmental exposure and not only as a household asset.

Indexed as

MalariaAdolescentAnimalsCattleChildChild, PreschoolFemaleHumansKenyaMaleMosquito VectorsPrevalenceRisk FactorsEpidemiologyGlobal HealthKenyaMalaria

Identifiers

PMID42547249
PMCPMC13475346

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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.