Consumers’ Food Safety Knowledge and Practices During COVID-19 in Jordan: Web-based Survey
Bibliographic record
Abstract
Background In Western countries, several studies have reported changes in consumers’ behaviors regarding food safety in response to the COVID-19 pandemic. The shared responsibility of food safety, between governments, food businesses, and consumers, has been well recognized and calls for extra preventive measures and recommendations to be introduced for food handlers, producers, and consumers. Little, however, is known about food safety in developing countries, including Jordan. Objective This study assessed the food safety knowledge and behaviors during the COVID-19 pandemic era in Jordan. Methods A web-based, self-administered questionnaire, published via the Jordan Food and Drug Administration website and social media platforms (March-July 2021), was utilized. The questionnaire assessed COVID-19 preventive measures (11 questions), food safety knowledge, (13 questions), and food safety practices (12 questions). Descriptive statistics were presented. Results In total, 969 respondents gave valid responses, of which 588 (60.7%) were females, 325 (33.5%) were 38-49 years old, 628 (64.8%) were married, 623 (64.3%) had college or bachelor degrees, 376 (38.8%) were from the central region, 809 (83.5%) were living in urban settings, and 313 (32.3%) had a medical background. The mean (SD) food safety knowledge score was 8.34 (2.33; range 0-13). Mean food safety knowledge scores were significantly different (P<.05) by age, marital status, education, field of study, training in food safety, employment status, monthly family income, and area of residence but not by gender and number of family members. Statistically significant correlations between mean knowledge scores and COVID-19 practice scores (P<.001, r=0.183) and food safety practice scores (P<.001, r=0.346) were detected. Conclusions Consumers seem to have adequate food safety knowledge and follow COVID-19-related preventive measures, which may transfer to better food practices and prevention of diseases, such as foodborne illnesses and COVID-19. Further studies and interventions in this regard are needed in Jordan.
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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 | 0.003 | 0.006 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| 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) | 0.001 | 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".