Prevalence, pattern and predictors of clinically important parasites contaminating raw vegetables and fruits in Ethiopia: a systematic review and meta-analysis
Bibliographic record
Abstract
There is a growing concern regarding food safety, with the potential presence of parasitic pathogens in raw produce globally. Contaminated fruits and vegetables can be sources of various parasitic infections imposing significant health consequences for general population, particularly, vulnerable populations such as pregnant women, young children, and immunocompromised individuals. Therefore, the aim of this meta-analysis is to systematically assess and synthesize the available evidence on the magnitude of parasitic contamination in raw fruits and vegetables obtained from local markets in Ethiopia. Thoroughly search of published and unpublished studies was conducted in the databases of MEDLINE/PubMed, EMBASE, Google Scholar, CINAHL, Cochrane library and Science Direct. PRISMA checklist was strictly followed to select potential studies. Microsoft Excel 2016 sheet template was employed to extract the data. Quality of included studies was assessed by using the Newcastle – Ottawa Scale. STATA software version 14.0 was used to compute the estimated pooled prevalence. Heterogeneity among included studies was assessed using percentage of variance (I2) and P-value. Thirteen studies with a total sample size of 3769 fruits and vegetables were included. The pooled prevalence of parasitic contamination in raw fruits and vegetables with at least one parasite in Ethiopia is 43.38% (95% CI: [36.64, 50.12]). The highest pooled prevalence of contamination with at least one parasite is reported from Oromia region, 51.95% (95% CI: [40.53, 63.37]). The most prevalent parasite is strongyloides stercoralis, followed by Toxocara spp., G. lamblia and A. lumbricoides. The most contaminated vegetables with at least one parasites is spinach followed by cabbage and lettuce. Banana has emerged to be the most frequently contaminated fruit with a contamination prevalence of 38.34% (95% CI: [1.84, 56.83]). Being unwashed fruits and vegetables, placement of the products and literacy status of the sellers are significantly associated with the occurrence of parasitic contamination. The result of this study showed that contamination of raw fruits and vegetables with clinical important parasites is high. Therefore, adequate public awareness on hygienic harvest, storage, placement and consumption shall be created in order to mitigate such a significant public health concern.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.006 | 0.001 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 0.000 |
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.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one teacher head, not a consensus.
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".