Evidence map›Paper›PMID 42855707›Full record

SynthesisInfectious diseases of poverty2026

Over-dispersion in malaria-schistosoma co-infection: insights from a meta-analytical approach and systematic review.

Célia Koellsch-Amet, Jérôme Boissier, Ronaldo Augusto

Abstract readSystematic ReviewMeta-AnalysisReview
PubMed Publisher
In one paragraph

Synthesis in Infectious diseases of poverty, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
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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

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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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

3 authors.

Célia Koellsch-AmetIHPE, University of Perpignan Via Domitia, CNRS, Ifremer, University of Montpellier, Perpignan, France.
Jérôme BoissierIHPE, University of Perpignan Via Domitia, CNRS, Ifremer, University of Montpellier, Perpignan, France.
Ronaldo AugustoIHPE, University of Perpignan Via Domitia, CNRS, Ifremer, University of Montpellier, Perpignan, France. ronaldo.augusto@univ-perp.fr.ORCID https://orcid.org/0000-0003-1147-0043

Funding

Agence Nationale de la Recherche ANR-22-CPJ1-0056-01
6 · The paper itself

Abstract

backgroundMalaria and schistosomiasis are two major parasitic diseases that are co-endemic in many regions of sub-Saharan Africa. Despite their frequent geographical overlap, the potential epidemiological patterns and potential interactions associated with Plasmodium--Schistosoma co-infection remain poorly characterized. This study aimed to systematically assess the epidemiology of malaria-schistosomiasis co-infection and to quantify whether co-infections occur more frequently than expected under an assumption of independence between the two infections.

methodsWe conducted a systematic review and meta-analysis in accordance with the PRISMA 2020 guidelines. A total of 192 studies published between 1996 and 2023 were included in the qualitative synthesis, of which 59 studies involving 73,383 individuals were included in the meta-analysis. Pooled odds ratio (ORs) were estimated to compare observed and expected co-infection prevalence.

resultsThe pooled analysis showed that Plasmodium-Schistosoma co-infection occurs more frequently than expected by chance (overall OR = 1.20, 95% CI 1.02-1.40), despite substantial heterogeneity across studies (I

conclusionsThese findings indicate a non-random distribution of malaria-schistosomiasis co-infection in sub-Saharan Africa, consistent with epidemiological over-dispersion. Although the underlying biological and immunological mechanisms remain uncertain, the widespread co-occurrence of these parasites highlights the importance of integrated surveillance and control strategies that account for polyparasitism in endemic settings.

Indexed as

CoinfectionMalariaSchistosomiasisAfrica South of the SaharaAnimalsFemaleHumansPlasmodiumPregnancyPrevalenceSchistosoma

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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.