Evidence map›Paper›PMID 41781022›Full record

ArticleBMJ global health2026

Prevalence, spatial and temporal distribution of tungiasis in the Kilifi Health and Demographic Surveillance System (KHDSS) in Kenya.

Nelson Ouma, Samuel K Muchiri, Christopher Nyundo, David Walumbe, Amek Nyaguara, Marta Maia, Ifedayo Adetifa, Benedict Orindi, Phillip Bejon, Ulrike Fillinger and 1 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. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Article
  2. 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

11 authors.

Nelson OumaKEMRI-Wellcome Trust Research Programme, Kilifi, Kenya nellomondis@gmail.com.ORCID 0000-0002-5889-9536
Samuel K MuchiriPopulation and Health Impact Surveillance Group, KEMRI-Wellcome Trust Research Programme, Nairobi, Kenya.
Christopher NyundoKEMRI-Wellcome Trust Research Programme, Kilifi, Kenya.
David WalumbeKEMRI-Wellcome Trust Research Programme, Kilifi, Kenya.
Amek NyaguaraKEMRI-Wellcome Trust Research Programme, Kilifi, Kenya.
Marta MaiaKEMRI-Wellcome Trust Research Programme, Kilifi, Kenya.
Ifedayo AdetifaKEMRI-Wellcome Trust Research Programme, Kilifi, Kenya.
Benedict OrindiKEMRI-Wellcome Trust Research Programme, Kilifi, Kenya.
Phillip BejonKEMRI-Wellcome Trust Research Programme, Kilifi, Kenya.
Ulrike FillingerInternational Centre of Insect Physiology and Ecology, Nairobi, Kenya.
Lynne ElsonKEMRI-Wellcome Trust Research Programme, Kilifi, Kenya.ORCID 0000-0003-2264-4459

Funding

Wellcome Trust 213724/Z/18/
6 · The paper itself

Abstract

introductionTungiasis is a highly neglected tropical disease of the skin caused by an embedded female sand flea affecting the most resource-poor communities in sub-Saharan Africa, the Caribbean and South America. The global disease burden is unknown and systematic, fine-resolution spatial data on prevalence and environmental and ecological risk factors are rare.

methodsWe leveraged the Kilifi Health and Demographic Surveillance System of 90 257 households and asked whether they had a case of tungiasis in the household at interview during three survey rounds of routine surveys, undertaken between May 2021 and May 2022. Precise geospatial data to locate households were matched to macrolevel environmental, ecological and soil covariates, and multilevel logistic regression models were used to test for associations.

resultsA total of 1376 (1.5%) households reported a case in at least one survey during the year, while only 25 households did for all three surveys. The prevalence decreased over the three rounds from 1.1%, through 0.5-0.2%. The odds of having a tungiasis case in a household were higher in houses with earthen floors and walls, and in rural locations. The odds increased with increases in the number of children in a household and with population density (within 1 km radius), rainfall, Enhanced Vegetation Index, land surface temperature, aridity, altitude and organic carbon in the soil. However, the odds of having a tungiasis case in a household decreased with increasing aluminium content in the soil. These factors accounted for 23.9% of the variability in tungiasis distribution by household.

conclusionTungiasis distribution was heterogenous and changed over time. Macro level environmental factors predicted the niche maps for tungiasis and could have applications in guiding local surveys and interventions.

Indexed as

TungiasisAnimalsFemaleHumansKenyaMalePopulation SurveillancePrevalenceRisk FactorsTungaEpidemiologyGeographic information systemsGlobal HealthKenyaTungiasis

Identifiers

PMID41781022
PMCPMC12970124

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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.