Determinants of Street Food Hygiene Practices and the Effectiveness of Interventions for Vendors and Consumers in Low- and Middle-Income Countries: Protocol for a Scoping Review
Bibliographic record
Abstract
Background: Street food is readily available food and beverages sold by vendors, frequently situated along streets or other public spaces. Street food is largely popular because it is low cost and readily available. However, unsafe food hygiene behaviors and conditions contribute to a substantial burden of foodborne illness. There is a gap in understanding what factors determine food hygiene behavior among street food vendors and consumers in low-income countries (LICs) and low- and middle-income countries (LMICs). Objective: This review aims to identify the determinants of safe food hygiene behavior and explore the effectiveness of food hygiene interventions for vendors and consumers in LICs and LMICs. Methods: We will search the PubMed, Cochrane Library, Web of Science, ProQuest, and Scopus databases for peer-reviewed articles and Google and Google Scholar for gray literature published in the English language from inception to October 31, 2023. We will apply the World Bank 2023 definition of LICs and LMICs to include studies from these countries in this review. Two independent reviewers will search, screen, and analyze the included literature. Data will be analyzed by narrative synthesis for all objectives. Results: This protocol outlines the methodology for conducting a scoping review. The findings will identify gaps in the existing literature and map the determinants of street food hygiene, as well as the interventions implemented for street food vendors and consumers. The project received funding in October 2022 and institutional review board approval in December 2022. Data analysis is currently underway, and the first results are expected to be submitted for publication in April 2026. Conclusions: To the best of our knowledge, this will be the first scoping review to investigate the determinants of street food hygiene behaviors and the effectiveness of interventions for vendors and consumers on street food hygiene in LICs and LMICs.
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 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 | 0.118 | 0.120 |
| Meta-epidemiology (narrow) | 0.007 | 0.007 |
| Meta-epidemiology (broad) | 0.018 | 0.024 |
| Bibliometrics | 0.019 | 0.016 |
| Science and technology studies | 0.007 | 0.006 |
| Scholarly communication | 0.010 | 0.012 |
| Open science | 0.007 | 0.010 |
| Research integrity | 0.012 | 0.009 |
| Insufficient payload (model declined to judge) | 0.075 | 0.015 |
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".