Evidence map›Paper›PMID 28991909›Full record

ArticlePLoS neglected tropical diseases2017

Prevalence, intensity and risk factors of tungiasis in Kilifi County, Kenya: I. Results from a community-based study.

Susanne Wiese, Lynne Elson, Felix Reichert, Barbara Mambo, Hermann Feldmeier

Registry-linked trialOpen access · goldAbstract read
In one paragraph

Article in PLoS neglected tropical diseases, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT07506967 (Early Detection and Management of SKIN-related negleCted Tropical Diseases Using Artificial Intelligence in Sub-saharan afRica), which is not on this map. Cited by 35 papers, 3 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
35citing papers in PubMed, 3 pooled it
1.8field-weighted citation impact, top 16% of its field
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.

NCT07506967 nanot yet recruitingnot on this mapstarted 2026, after this paper: background citation

Early Detection and Management of SKIN-related negleCted Tropical Diseases Using Artificial Intelligence in Sub-saharan afRica (SkincAIr)

TypeinterventionalSponsorKenya Medical Research InstituteRan2026 to 2030Enrolled2,420ConditionsSkin and Connective Tissue Diseases, Neglected Tropical Diseases, Leprosy, Buruli UlcerArmsA mobile app with AI functionality for diagnosing skin-related NTDs
3 · Its place in the literature

Who cites it

35 citing papers in PubMed, 3 syntheses or guidelines pooled it, 65 citations in OpenAlex.

  1. Pooled it
  2. Pooled it
  3. Pooled it
  4. Trial
  5. Article
  6. Article
  7. Article
  8. Article
  9. Article
  10. Review
  11. Article
  12. Article
  13. Article
  14. Article
  15. Article
  16. Observational
  17. Article
  18. Article
  19. Article
  20. 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

5 authors at 2 institutions in 2 countries.

Susanne WieseInstitute of Microbiology and Hygiene, Charité University Medicine, Berlin, Germany.ORCID http://orcid.org/0000-0001-6136-7015
Lynne ElsonWAJIMIDA Jigger Campaign, Dabaso Tujengane CBO, Watamu, Kenya.
Felix ReichertDepartment of Pediatrics, Charité University Medicine, Berlin, Germany.
Barbara MamboKilifi County Research Group, Kilifi County Hospital, Kilifi, Kenya.
Hermann FeldmeierInstitute of Microbiology and Hygiene, Charité University Medicine, Berlin, Germany.
Charité - Universitätsmedizin Berlin · DEMoving the GoalPosts · KE

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundTungiasis is a neglected tropical disease caused by female sand fleas (Tunga penetrans) embedded in the skin. The disease is associated with important morbidity. Tungiasis is endemic along the Coast of Kenya with a prevalence ranging from 11% to 50% in school-age children. Hitherto, studies on epidemiological characteristics of tungiasis in Africa are scanty.

methodsIn a cross-sectional study 1,086 individuals from 233 households in eight villages located in Kakuyuni and Malanga Sub-locations, Kilifi County, on the Kenyan Coast, were investigated. Study participants were examined systematically and the presence and severity of tungiasis were determined using standard methods. Demographic, socio-economic, environmental and behavioral risk factors of tungiasis were assessed using a structured questionnaire. Data were analyzed using bivariate and multivariate regression analysis.

resultsThe overall prevalence of tungiasis was 25.0% (95% CI 22.4-27.5%). Age-specific prevalence followed an S-shaped curve, peaking in the under-15 year old group. In 42.5% of the households at least one individual had tungiasis. 15.1% of patients were severely infected (≥ 30 lesions). In the bivariate analysis no specific animal species was identified as a risk factor for tungiasis. Multivariate analysis showed that the occurrence of tungiasis was related to living in a house with poor construction characteristics, such as mud walls (OR 3.35; 95% CI 1.71-6.58), sleeping directly on the floor (OR 1.68; 95% CI 1.03-2.74), the number of people per sleeping room (OR = 1.77; 95% CI 1.07-2.93) and washing the body without soap (OR = 7.36; 95% CI 3.08-17.62). The odds of having severe tungiasis were high in males (OR 2.29; 95% CI 1.18-44.6) and were very high when only mud puddles were available as a water source and lack of water permitted washing only once a day (OR 25.48 (95% CI 3.50-185.67) and OR 2.23 (95% CI 1.11-4.51), respectively).

conclusionsThe results of this study show that in rural Kenya characteristics of poverty determine the occurrence and the severity of tungiasis. Intra-domiciliary transmission seems to occur regularly.

Indexed as

AdolescentAdultAnimalsChildChild, PreschoolCross-Sectional StudiesFemaleHumansInfantKenyaMaleMiddle AgedPrevalenceRisk FactorsTungaTungiasis

Identifiers

PMID28991909
PMCPMC5648262
OpenAlexW2762665574

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

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.