Evidence map›Paper›PMID 24386499›Full record

ArticlePLoS neglected tropical diseases2013

Micro-geographical heterogeneity in Schistosoma mansoni and S. haematobium infection and morbidity in a co-endemic community in northern Senegal.

Lynn Meurs, Moustapha Mbow, Nele Boon, Frederik van den Broeck, Kim Vereecken, Tandakha Ndiaye Dièye, Emmanuel Abatih, Tine Huyse, Souleymane Mboup, Katja Polman

Open access · goldAbstract read
In one paragraph

Article in PLoS neglected tropical diseases, 2013. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 29 papers, 3 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
29citing papers in PubMed, 3 pooled it
3.0field-weighted citation impact, top 10% 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

29 citing papers in PubMed, 3 syntheses or guidelines pooled it, 44 citations in OpenAlex.

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  16. Spatial Analysis of Infections byAnimals : an open access journal from MDPI · 2019
    Article
  17. Spatiotemporal Heterogeneity in HumanInternational journal of environmental research and public health · 2019
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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

10 authors at 4 institutions in 3 countries.

Lynn MeursInstitute of Tropical Medicine, Antwerp, Belgium.
Moustapha MbowInstitute of Tropical Medicine, Antwerp, Belgium ; Laboratory of Bacteriology and Virology, Centre Hospitalier Universitaire Aristide Le Dantec, Dakar, Senegal.
Nele BoonInstitute of Tropical Medicine, Antwerp, Belgium ; Laboratory of Biodiversity and Evolutionary Genomics, University of Leuven, Leuven, Belgium.
Frederik van den BroeckInstitute of Tropical Medicine, Antwerp, Belgium ; Laboratory of Biodiversity and Evolutionary Genomics, University of Leuven, Leuven, Belgium.
Kim VereeckenInstitute of Tropical Medicine, Antwerp, Belgium.
Tandakha Ndiaye DièyeLaboratory of Bacteriology and Virology, Centre Hospitalier Universitaire Aristide Le Dantec, Dakar, Senegal.
Emmanuel AbatihInstitute of Tropical Medicine, Antwerp, Belgium.
Tine HuyseInstitute of Tropical Medicine, Antwerp, Belgium ; Laboratory of Biodiversity and Evolutionary Genomics, University of Leuven, Leuven, Belgium.
Souleymane MboupLaboratory of Bacteriology and Virology, Centre Hospitalier Universitaire Aristide Le Dantec, Dakar, Senegal.
Katja PolmanInstitute of Tropical Medicine, Antwerp, Belgium.
Instituut voor Tropische Geneeskunde · BEHôpital Aristide Le Dantec · SNEvolutionary Genomics (United States) · USKU Leuven · BE

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundSchistosoma mansoni and S. haematobium are co-endemic in many areas in Africa. Yet, little is known about the micro-geographical distribution of these two infections or associated disease within such foci. Such knowledge could give important insights into the drivers of infection and disease and as such better tailor schistosomiasis control and elimination efforts. METHODOLOGY: In a co-endemic farming community in northern Senegal (346 children (0-19 y) and 253 adults (20-85 y); n = 599 in total), we studied the spatial distribution of S. mansoni and S. haematobium single and mixed infections (by microscopy), S. mansoni-specific hepatic fibrosis, S. haematobium-specific urinary tract morbidity (by ultrasound) and water contact behavior (by questionnaire). The Kulldorff's scan statistic was used to detect spatial clusters of infection and morbidity, adjusted for the spatial distribution of gender and age. PRINCIPAL

findingsSchistosoma mansoni and S. haematobium infection densities clustered in different sections of the community (p = 0.002 and p = 0.023, respectively), possibly related to heterogeneities in the use of different water contact sites. While the distribution of urinary tract morbidity was homogeneous, a strong geospatial cluster was found for severe hepatic fibrosis (p = 0.001). Particularly those people living adjacent to the most frequently used water contact site were more at risk for more advanced morbidity (RR = 6.3; p = 0.043). CONCLUSIONS/SIGNIFICANCE: Schistosoma infection and associated disease showed important micro-geographical heterogeneities with divergent patterns for S. mansoni and S. haematobium in this Senegalese community. Further in depth investigations are needed to confirm and explain our observations. The present study indicates that local geospatial patterns should be taken into account in both research and control of schistosomiasis. The observed extreme focality of schistosomiasis even at community level, suggests that current strategies may not suffice to move from morbidity control to elimination of schistosomiasis, and calls for less uniform measures at a finer scale.

Indexed as

Spatial AnalysisAdolescentAdultAgedAged, 80 and overAnimalsChildChild, PreschoolCluster AnalysisCoinfectionCross-Sectional StudiesFemaleHumansInfantInfant, NewbornMale

Identifiers

PMID24386499
PMCPMC3873272
OpenAlexW2017825160

What OpenQuestion holds

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LicenceCC BY
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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.