Evidence map›Paper›PMID 28863133›Full record

ArticlePLoS neglected tropical diseases2017

Spatial distribution and risk factors of Schistosoma haematobium and hookworm infections among schoolchildren in Kwale, Kenya.

Evans Asena Chadeka, Sachiyo Nagi, Toshihiko Sunahara, Ngetich Benard Cheruiyot, Felix Bahati, Yuriko Ozeki, Manabu Inoue, Mayuko Osada-Oka, Mayuko Okabe, Yukio Hirayama and 13 more

Open 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. Cited by 28 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
28citing papers in PubMed, 2 pooled it
2.6field-weighted citation impact, top 11% 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.

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

28 citing papers in PubMed, 2 syntheses or guidelines pooled it, 41 citations in OpenAlex.

  1. Pooled it
  2. Pooled it
  3. Harnessing crayfish,Helminthologia · 2025
    Article
  4. Article
  5. Article
  6. Article
  7. Article
  8. Article
  9. Article
  10. Article
  11. Article
  12. Article
  13. Article
  14. Article
  15. Review
  16. Article
  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

23 authors at 7 institutions in 2 countries.

Evans Asena ChadekaLeading Program, Graduate School of Biomedical Sciences, Nagasaki University, Nagasaki, Japan.
Sachiyo NagiDepartment of Parasitology, Institute of Tropical Medicine (NEKKEN), Nagasaki University, Nagasaki, Japan.
Toshihiko SunaharaThe Joint Usage/Research Center on Tropical Disease, Institute of Tropical Medicine (NEKKEN), Nagasaki University, Nagasaki, Japan.
Ngetich Benard CheruiyotNagasaki University, Kenya Research Station, NUITM-KEMRI Project, Nairobi, Kenya.
Felix BahatiNagasaki University, Kenya Research Station, NUITM-KEMRI Project, Nairobi, Kenya.
Yuriko OzekiDepartment of Bacteriology, Niigata University School of Medicine, Niigata, Japan.
Manabu InoueDepartment of Bacteriology and Virology, Osaka-City University Graduate School of Medicine, Osaka, Japan.
Mayuko Osada-OkaFood Hygiene and Environmental Health Division of Applied Life Science, Graduate School of Life and Environmental Sciences, Kyoto Prefectural University, Kyoto, Japan.
Mayuko OkabeDepartment of Immunology, National Institute of Infectious Diseases, Tokyo, Japan.
Yukio HirayamaDepartment of Bacteriology, Niigata University School of Medicine, Niigata, Japan.
Mwatasa ChangomaNagasaki University, Kenya Research Station, NUITM-KEMRI Project, Nairobi, Kenya.
Keishi AdachiDepartment of Parasitology, Institute of Tropical Medicine (NEKKEN), Nagasaki University, Nagasaki, Japan.
Faith MwendeEastern and Southern Africa Centre of International Parasite Control (ESACIPAC), Kenya Medical Research Institute (KEMRI), Nairobi, Kenya.
Mihoko KikuchiThe Joint Usage/Research Center on Tropical Disease, Institute of Tropical Medicine (NEKKEN), Nagasaki University, Nagasaki, Japan.
Risa NakamuraLeading Program, Graduate School of Biomedical Sciences, Nagasaki University, Nagasaki, Japan.
Yombo Dan Justin KalendaDepartment of Parasitology, Institute of Tropical Medicine (NEKKEN), Nagasaki University, Nagasaki, Japan.
Satoshi KanekoThe Joint Usage/Research Center on Tropical Disease, Institute of Tropical Medicine (NEKKEN), Nagasaki University, Nagasaki, Japan.
Kenji HirayamaLeading Program, Graduate School of Biomedical Sciences, Nagasaki University, Nagasaki, Japan.
Masaaki ShimadaNagasaki University, Kenya Research Station, NUITM-KEMRI Project, Nairobi, Kenya.
Yoshio IchinoseLeading Program, Graduate School of Biomedical Sciences, Nagasaki University, Nagasaki, Japan.
Sammy M NjengaEastern and Southern Africa Centre of International Parasite Control (ESACIPAC), Kenya Medical Research Institute (KEMRI), Nairobi, Kenya.
Sohkichi MatsumotoDepartment of Bacteriology, Niigata University School of Medicine, Niigata, Japan.
Shinjiro HamanoLeading Program, Graduate School of Biomedical Sciences, Nagasaki University, Nagasaki, Japan.ORCID http://orcid.org/0000-0003-3881-8337
Kenya Medical Research Institute · KENagasaki University · JPNiigata University · JPKyoto Prefectural University · JPNational Institute of Infectious Diseases · JPOsaka City University · JPYamaguchi University · JP

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundLarge-scale schistosomiasis control programs are implemented in regions with diverse social and economic environments. A key epidemiological feature of schistosomiasis is its small-scale heterogeneity. Locally profiling disease dynamics including risk factors associated with its transmission is essential for designing appropriate control programs. To determine spatial distribution of schistosomiasis and its drivers, we examined schoolchildren in Kwale, Kenya. METHODOLOGY/PRINCIPAL

findingsWe conducted a cross-sectional study of 368 schoolchildren from six primary schools. Soil-transmitted helminths and Schistosoma mansoni eggs in stool were evaluated by the Kato-Katz method. We measured the intensity of Schistosoma haematobium infection by urine filtration. The geometrical mean intensity of S. haematobium was 3.1 eggs/10 ml urine (school range, 1.4-9.2). The hookworm geometric mean intensity was 3.2 eggs/g feces (school range, 0-17.4). Heterogeneity in the intensity of S. haematobium and hookworm infections was evident in the study area. To identify factors associated with the intensity of helminth infections, we utilized negative binomial generalized linear mixed models. The intensity of S. haematobium infection was associated with religion and socioeconomic status (SES), while that of hookworm infection was related to SES, sex, distance to river and history of anthelmintic treatment. CONCLUSIONS/SIGNIFICANCE: Both S. haematobium and hookworm infections showed micro-geographical heterogeneities in this Kwale community. To confirm and explain our observation of high S. haematobium risk among Muslims, further extensive investigations are necessary. The observed small scale clustering of the S. haematobium and hookworm infections might imply less uniform strategies even at finer scale for efficient utilization of limited resources.

Indexed as

AdolescentAncylostomatoideaAnimalsChildCross-Sectional StudiesDemographyFecesFemaleHookworm InfectionsHumansIslamKenyaLinear ModelsMaleParasite Egg CountRisk FactorsSoil

Identifiers

PMID28863133
PMCPMC5599053
OpenAlexW2753060146

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

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.