Intestinal parasitic infections and associated factors among street dwellers and prison inmates: A systematic review and meta-analysis
Bibliographic record
Abstract
BACKGROUND: Intestinal parasitic infections are closely associated with low household income, poor personal and environmental sanitation, and overcrowding, limited access to clean water, tropical climate and low altitude. Street dwellers and prisoners are forced to live in deprived situations characterized by inadequate facilities. Therefore, this study aimed to estimate the pooled prevalence and associated factors of intestinal parasitic infections among street dwellers and prison inmates. METHOD: Study searches were carried out in Electronic data bases such as PubMed/Medline, HINARI, EMBASE, Science Direct, Scopus, Google Scholar and Cochrane Library. Studies published only in English and have high quality Newcastle Ottawa Scale (NOS) scores were included for analysis using Stata version 14 software. Random-effects meta-analysis model was used for analysis. Heterogeneity was assessed using the Cochrane's Q test and I2 test statistics with its corresponding p-values. Moreover, subgroup, sensitivity analyses and publication bias were computed. RESULT: Seventeen eligible studies consist of 4,544 study participants were included. Majority of the study participants were males (83.5%) and the mean age of the study participants was 25.7 years old. The pooled prevalence of intestinal parasitic infections among street dwellers and prison inmates was 43.68% (95% CI 30.56, 56.79). Sub-group analysis showed that the overall pooled prevalence of intestinal parasitic infections among prison inmates and street dwellers was 30.12% (95%CI: 19.61, 40.62) and 68.39% (95%CI: 57.30, 79.49), respectively. There was statistically significant association between untrimmed fingernail and intestinal parasitic infections (AOR: 1.09 (95%CI: 0.53, 2.23). CONCLUSION: In this study, the pooled prevalence of intestinal parasitic infections among street dwellers and prison inmates was relatively high. Fingernail status had statistically significant association with intestinal parasitic infection. The prevention and control strategy of intestinal parasitic infection should also target socially deprived segment of the population such as street dwellers and prison inmates.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot 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.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.010 | 0.025 |
| Meta-epidemiology (narrow) | 0.003 | 0.001 |
| Meta-epidemiology (broad) | 0.018 | 0.035 |
| Bibliometrics | 0.009 | 0.009 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.004 | 0.002 |
| Open science | 0.002 | 0.002 |
| Research integrity | 0.002 | 0.002 |
| Insufficient payload (model declined to judge) | 0.003 | 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 source (direct Gemma or distilled Codex), 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".