Evidence map›Paper›PMID 30144807›Full record

ArticleParasites & vectors2018

Geographical and behavioral risks associated with Schistosoma haematobium infection in an area of complex transmission.

Teckla Angelo, Joram Buza, Safari Methusela Kinung'hi, Henry Curtis Kariuki, Joseph Rogathe Mwanga, David Zadock Munisi, Shona Wilson

Abstract read
In one paragraph

Article in Parasites & vectors, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 22 papers, 3 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
22citing papers in PubMed, 3 pooled it
–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

22 citing papers in PubMed, 3 syntheses or guidelines pooled it.

  1. Pooled it
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  4. Article
  5. Review
  6. Seasonal distribution and cercarial shedding ofCurrent research in parasitology & vector-borne diseases · 2025
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  12. Prevalence and Molecular Identification ofTropical medicine and infectious disease · 2022
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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

7 authors.

Teckla AngeloDepartment of Global Health, School of Life Sciences and Bioengineering, Nelson Mandela African Institution of Science and Technology, P. O. Box 447, Arusha, Tanzania. tecklaangelo@yahoo.com.
Joram BuzaDepartment of Global Health, School of Life Sciences and Bioengineering, Nelson Mandela African Institution of Science and Technology, P. O. Box 447, Arusha, Tanzania.
Safari Methusela Kinung'hiNational Institute for Medical Research, Mwanza Centre, P. O. Box 1462, Mwanza, Tanzania.
Henry Curtis KariukiKenya Methodist University, School of Medicine and Health Sciences, P.O. Box 267, Meru, Kenya.
Joseph Rogathe MwangaNational Institute for Medical Research, Mwanza Centre, P. O. Box 1462, Mwanza, Tanzania.
David Zadock MunisiDepartment of Global Health, School of Life Sciences and Bioengineering, Nelson Mandela African Institution of Science and Technology, P. O. Box 447, Arusha, Tanzania.
Shona WilsonDepartment of Pathology, University of Cambridge, Tennis Court Road, Cambridge, CB2 1QP, UK.

Funding

Royal Society AA130107
6 · The paper itself

Abstract

backgroundSchistosoma haematobium infection in endemic areas varies depending on the nature and complexity of the transmission networks present. Studies of micro-geographical transmission of S. haematobium infection indicate that discrepancy in prevalence between households is associated with diverse water contact behaviors and transmission that is restricted to particular sites harboring snail intermediate hosts. Detection of variations in the transmission sources with complex transmission networks of water bodies is required for optimization of malacological control. Longitudinal parasitological and malacological surveys were conducted to investigate geographical variations in transmission of urogenital schistosomiasis in Ikingwamanoti village, Shinyanga District, Tanzania.

methodsUrine samples were collected at baseline and follow-up time points from 282 school-aged children and examined microscopically for the presence of S. haematobium eggs. Malacological surveys involved collection of Bulinus nasutus every month from 30 sites. Snails were examined for patent infections. Global positioning system was used to map household distances from S. haematobium transmission sites, while water contact behavior was assessed using a questionnaire.

resultsSchistosoma haematobium infection was observed to be prevalent among older children (12-14 years) compared to younger groups prior to treatment, but no significant difference in infection prevalence was observed at one-year. Boys were highly infected than girls at both time points. No spatial influence was observed between children's infection and the distance from child's residence to the nearby snail habitats nor was any significant association observed between children's reported water contact behavior with S. haematobium infection. However, malacological surveys with cercarial shedding combined with GPS data detected significant variation among different water sources in the transmission of S. haematobium with children living in households near to ponds with high B. nasutus populations having the highest prevalence of infection.

conclusionsInteraction between malacological surveys with cercarial shedding combined with GPS mapping in endemic settings can help detection of transmission sources even in areas with complex transmission networks. Subsequent studies are needed to determine whether the combination of GPS mapping and parasitology screens can aid the detection of transmission hotspots across varied transmission settings to enhance schistosomiasis control programmes.

Indexed as

EcosystemAdolescentAge FactorsAnimalsBulinusCercariaChildFamily CharacteristicsFemaleGeographic Information SystemsGeographyHumansMaleParasite Egg CountPondsPrevalenceWaterGPSMalacological surveysUrogenital schistosomiasisWater contact behavior

Identifiers

PMID30144807
PMCPMC6109322

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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.