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Record W4414662536 · doi:10.1186/s12889-025-24074-4

Worldwide prevalence of protozoans and helminths among disabled people: a systematic review and meta-analysis

2025· review· en· W4414662536 on OpenAlexaboutno aff
Ahmed Galip Halidi, Kemal Yaran

Bibliographic record

VenueBMC Public Health · 2025
Typereview
Languageen
FieldImmunology and Microbiology
TopicParasites and Host Interactions
Canadian institutionsnot available
Fundersnot available
KeywordsPublic healthBiostatisticsSocioeconomic statusEpidemiologyProtozoaTransmission (telecommunications)Helminths

Abstract

fetched live from OpenAlex

Parasitic diseases represent a substantial public health concern on a global scale, particularly affecting communities characterized by low socioeconomic status and insufficient sanitation practices. Within these communities, individuals with disabilities are disproportionately impacted. According to the existing literature, it is posited that the prevalence of parasitic infections among disabled individuals is notably high, a factor often neglected when examining the intestinal parasites present in these individuals, alongside the diverse geographical and socioeconomic variations worldwide. This study posits that the prevalence of parasitic infections in individuals with disabilities is indeed elevated, and that there are significant socioeconomic and geographic disparities in species-specific prevalence. This study aimed to ascertain the global pooled prevalence of helminth and protozoan infections in individuals with disabilities, identify the prevalent parasite species, and compare the prevalence across various geographic regions worldwide. A systematic review and meta-analysis were conducted using the Reporting System for Systematic Reviews and Meta-Analyses. PubMed, Web of Science, Scopus, and the TR index were searched in August 2024 using the predetermined keywords. No time restrictions were imposed. The methodological quality of the studies was evaluated using the Joanna Briggs Institute’s Critical Appraisal Checklist for randomized controlled, experimental, and cross-sectional studies. A meta-analysis method was used to pooled the data. A total of 12608 samples from 50 articles were included in the analysis. The pooled helminth and protozoan parasite prevalence was 40%, with high heterogeneity (I2 = 98.48%, P < 0.001). Subgroup analysis revealed that the most common country for helminths and protozoans in disabled people was Canada, at a rate of 73% (I2 = 95.23%, P < 0.001). Subgroup analysis of parasite species revealed that Toxoplasma sp. (40%; prevalence with 95% CI: 40%, I2 = 98.83) was the most frequently detected parasite among disabled people, followed by Entamoeba histolytica/dispar and Toxocara spp. Entamoeba coli, Entamoeba hartmanni, Ascaris lumbricoides and Blastocystis spp. In the subgroup analysis performed with the data obtained in the classification according to the differences in diagnostic methods, 42% (I2 = 98.03, P < 0.001) in molecular techniques, 36% (I2 = 98.52, P < 0.001) in serological methods, 41% (I2 = 98.4, P < 0.001) in gaita microscopic examinations. The global prevalence of protozoa and helminths among individuals with disabilities is significantly high, with notable occurrences in Canada, Philippines, and Ethiopia. The primary determinants of this situation include socioeconomic conditions, educational level, and geographical factors. It is imperative to educate disabled individuals and their families about transmission pathways and preventive measures for protozoa and helminths. Furthermore, local governments and public authorities should endeavor to improve the living conditions of individuals with disabilities, particularly those facing self-care challenges.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.016
metaresearch head score (Gemma)0.034
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Meta-analysis · Consensus signal: Meta-analysis
GenreCandidate signal: Review · Consensus signal: Review
Teacher disagreement score0.020
Threshold uncertainty score0.085

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0160.034
Meta-epidemiology (narrow)0.0030.002
Meta-epidemiology (broad)0.0200.050
Bibliometrics0.0130.013
Science and technology studies0.0010.001
Scholarly communication0.0040.002
Open science0.0020.002
Research integrity0.0020.002
Insufficient payload (model declined to judge)0.0040.000

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.081
GPT teacher head0.400
Teacher spread0.319 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designMeta-analysis
Domainnot available
GenreReview

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

Quick stats

Citations2
Published2025
Admission routes1
Has abstractyes

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