Evidence map›Paper›PMID 26996821›Full record

ArticleActa tropica2017

Geospatial and age-related patterns of Taenia solium taeniasis in the rural health zone of Kimpese, Democratic Republic of Congo.

Joule Madinga, Kirezi Kanobana, Philippe Lukanu, Emmanuel Abatih, Sylvain Baloji, Sylvie Linsuke, Nicolas Praet, Serge Kapinga, Katja Polman, Pascal Lutumba and 4 more

Open access · hybridAbstract read
In one paragraph

Article in Acta tropica, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 16 papers, 4 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
16citing papers in PubMed, 4 pooled it
2.7field-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

16 citing papers in PubMed, 4 syntheses or guidelines pooled it, 32 citations in OpenAlex.

  1. Pooled it
  2. Pooled it
  3. Pooled it
  4. Pooled it
  5. Article
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  10. Prevalence of Epilepsy, Human Cysticercosis, and Porcine Cysticercosis in Western Kenya.The American journal of tropical medicine and hygiene · 2022
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  12. New insights on thePathogens and global health · 2022
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  13. Article
  14. Article
  15. Border analysis for spatial clusters.International journal of health geographics · 2018
    Article
  16. 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

14 authors at 6 institutions in 3 countries.

Joule MadingaInstitute of Health and Society, Université Catholique de Louvain, Brussels, Belgium; Department of Biomedical Sciences, Institute of Tropical Medicine, Antwerp, Belgium; Institut National de Recherche Biomédicale, Kinshasa, Democratic Republic of the Congo. Electronic address: jmadinga@yahoo.fr.
Kirezi KanobanaDepartment of Biomedical Sciences, Institute of Tropical Medicine, Antwerp, Belgium.
Philippe LukanuZone de santé Rurale de Kimpese, Democratic Republic of the Congo.
Emmanuel AbatihDepartment of Biomedical Sciences, Institute of Tropical Medicine, Antwerp, Belgium.
Sylvain BalojiProgramme National de Lutte contre la Trypanosomiase Humaine Africaine, Kinshasa, Democratic Republic of the Congo.
Sylvie LinsukeInstitut National de Recherche Biomédicale, Kinshasa, Democratic Republic of the Congo.
Nicolas PraetDepartment of Biomedical Sciences, Institute of Tropical Medicine, Antwerp, Belgium.
Serge KapingaInstitut National de Recherche Biomédicale, Kinshasa, Democratic Republic of the Congo.
Katja PolmanDepartment of Biomedical Sciences, Institute of Tropical Medicine, Antwerp, Belgium.
Pascal LutumbaInstitut National de Recherche Biomédicale, Kinshasa, Democratic Republic of the Congo; Department of Tropical Medicine, University of Kinshasa, Democratic Republic of the Congo.
Niko SpeybroeckInstitute of Health and Society, Université Catholique de Louvain, Brussels, Belgium.
Pierre DornyDepartment of Biomedical Sciences, Institute of Tropical Medicine, Antwerp, Belgium.
Wendy HarrisonDepartment of Infectious Disease and Epidemiology, Imperial College, London, UK.
Sarah GabrielDepartment of Biomedical Sciences, Institute of Tropical Medicine, Antwerp, Belgium.
Instituut voor Tropische Geneeskunde · BENational Institute of Biomedical Research · CDImperial College London · GBProgramme National Multisectoriel de Lutte contre le sida · CDUCLouvain · BEUniversity of Kinshasa · CD

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundTaenia solium infections are mostly endemic in less developed countries where poor hygiene conditions and free-range pig management favor their transmission. Knowledge on patterns of infections in both human and pig is crucial to design effective control strategies. The aim of this study was to assess the prevalence, risk factors and spatial distribution of taeniasis in a rural area of the Democratic Republic of Congo (DRC), in the prospect of upcoming control activities.

methodsA cross-sectional study was conducted in 24 villages of the health zone of Kimpese, Bas Congo Province. Individual and household characteristics, including geographical coordinates were recorded. Stool samples were collected from willing participants and analyzed using the copro-antigen enzyme-linked immunosorbent assay (copro-Ag ELISA) for the detection of taeniasis. Blood samples were collected from pigs and analyzed using the B158/B60 monoclonal antibody-based antigen ELISA (sero-Ag ELISA) to detect porcine cysticercosis. Logistic regression and multilevel analysis were applied to identify risk factors. Global clustering and spatial correlation of taeniasis and porcine cysticercosis were assessed using K functions. Local clusters of both infections were identified using the Kulldorff's scan statistic.

resultsA total of 4751 participants above 5 years of age (median: 23 years; IQR: 11-41) were included. The overall proportion of taeniasis positivity was 23.4% (95% CI: 22.2-24.6), ranging from 1 to 60% between villages, with a significant between-household variance of 2.43 (SE=0.29, p<0.05). Taeniasis was significantly associated with age (p<0.05) and the highest positivity was found in the 5-10 years age group (27.0% (95% CI: 24.4-29.7)). Overall, 45.6% (95% CI: 40.2-51) of sampled pigs were sero-positive. The K functions revealed a significant overall clustering of human and pig infections but no spatial dependence between them. Two significant clusters of taeniasis (p<0.001; n=276 and n=9) and one cluster of porcine cysticercosis (p<0.001; n=24) were found.

conclusionThis study confirms high endemicity and geographical dispersal of taeniasis in the study area. The role of age in taeniasis patterns and significant spatial clusters of both taeniasis and porcine cysticercosis were evidenced, though no spatial correlation was found between human and pig infections. Urgent control activities are needed for this endemic area.

Indexed as

AdolescentAdultAgedAged, 80 and overAge FactorsAnimal HusbandryAnimalsChildChild, PreschoolCross-Sectional StudiesDemocratic Republic of the CongoEnzyme-Linked Immunosorbent AssayFamily CharacteristicsFemaleHumansMaleDemocratic republic of CongoEpidemiologyPorcine cysticercosisSpatial clusteringTaeniasis

Identifiers

PMID26996821
PMCPMC5178865
OpenAlexW2299945537

What OpenQuestion holds

Textmetadata
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.