Evidence map›Paper›PMID 29329561›Full record

ArticleParasites & vectors2018

Strongyloides stercoralis and hookworm co-infection: spatial distribution and determinants in Preah Vihear Province, Cambodia.

Armelle Forrer, Virak Khieu, Fabian Schär, Penelope Vounatsou, Frédérique Chammartin, Hanspeter Marti, Sinuon Muth, Peter Odermatt

Open access · goldAbstract 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 30 papers, 4 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
30citing papers in PubMed, 4 pooled it
3.7field-weighted citation impact, top 7% 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

30 citing papers in PubMed, 4 syntheses or guidelines pooled it, 43 citations in OpenAlex.

  1. Pooled it
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  7. A population genetic analysis of the nematodeProceedings of the National Academy of Sciences of the United States of America · 2025
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  20. Risk profiling and efficacy of albendazole against the hookwormsThe Lancet regional health. Western Pacific · 2021
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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

8 authors at 3 institutions in 2 countries.

Armelle ForrerSwiss Tropical and Public Health Institute, Basel, Switzerland.
Virak KhieuNational Centre for Parasitology, Entomology and Malaria Control, Ministry of Health, Phnom Penh, Cambodia.
Fabian SchärSwiss Tropical and Public Health Institute, Basel, Switzerland.
Penelope VounatsouSwiss Tropical and Public Health Institute, Basel, Switzerland.
Frédérique ChammartinSwiss Tropical and Public Health Institute, Basel, Switzerland.
Hanspeter MartiSwiss Tropical and Public Health Institute, Basel, Switzerland.
Sinuon MuthNational Centre for Parasitology, Entomology and Malaria Control, Ministry of Health, Phnom Penh, Cambodia.
Peter OdermattSwiss Tropical and Public Health Institute, Basel, Switzerland. peter.odermatt@swisstph.ch.
Swiss Tropical and Public Health Institute · CHMinistry of Health · KHUniversity of Basel · CH

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundStrongyloides stercoralis and hookworm are two soil-transmitted helminths (STH) that are highly prevalent in Cambodia. Strongyloides stercoralis causes long-lasting infections and significant morbidity but is largely neglected, while hookworm causes the highest public health burden among STH. The two parasites have the same infection route, i.e. skin penetration. The extent of co-distribution, which could result in potential high co-morbidities, is unknown in highly endemic settings like Cambodia. The aim of this study was to predict the spatial distribution of S. stercoralis-hookworm co-infection risk and to investigate determinants of co-infection in Preah Vihear Province, North Cambodia.

methodsA cross-sectional survey was conducted in 2010 in 60 villages of Preah Vihear Province. Diagnosis was performed on two stool samples, using combined Baermann technique and Koga agar culture plate for S. stercoralis and Kato-Katz technique for hookworm. Bayesian multinomial geostatistical models were used to assess demographic, socioeconomic, and behavioural determinants of S. stercoralis-hookworm co-infection and to predict co-infection risk at non-surveyed locations.

resultsOf the 2576 participants included in the study, 48.6% and 49.0% were infected with S. stercoralis and hookworm, respectively; 43.8% of the cases were co-infections. Females, preschool aged children, adults aged 19-49 years, and participants who reported regularly defecating in toilets, systematically boiling drinking water and having been treated with anthelmintic drugs had lower odds of co-infection. While S. stercoralis infection risk did not appear to be spatially structured, hookworm mono-infection and co-infection exhibited spatial correlation at about 20 km. Co-infection risk was positively associated with longer walking distances to a health centre and exhibited a small clustering tendency. The association was only partly explained by climatic variables, suggesting a role for underlying factors, such as living conditions and remoteness.

conclusionsBoth parasites were ubiquitous in the province, with co-infections accounting for almost half of all cases. The high prevalence of S. stercoralis calls for control measures. Despite several years of school-based de-worming programmes, hookworm infection levels remain high. Mebendazole efficacy, as well as coverage of and compliance to STH control programmes should be investigated.

Indexed as

Models, StatisticalAdolescentAdultAncylostomatoideaAnimalsAnthelminticsBayes TheoremCambodiaChildChild, PreschoolCoinfectionCross-Sectional StudiesFecesFemaleHookworm InfectionsHumansAnthelminticsSoilBayesianCambodiaCo-infectionControlHelminthsHookwormRisk profilingSpatialStrongyloidiasis

Identifiers

PMID29329561
PMCPMC5767026
OpenAlexW2783082655

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.