Assessment of Hygiene Conditions in Sudanese Airlines Catering at Khartoum International Airport
Notice bibliographique
Résumé
Background: Food safety has been recognized as a matter of importance to the airlines industry and airports must have the capacity to ensure a safe environment for passengers using point of entry facilities, including flight catering and other potential risks. The risk of food getting contaminated depends largely on the knowledge and practice of proper food hygiene measures among food handlers. The study aimed to assess the hygiene conditions in airlines catering services units at Khartoum Airport; to evaluate the level of knowledge and practice of food handlers towards food hygiene in addition to identify the microbial load on food handler’s hands.Methodology: Four airlines catering services units at Khartoum International Airport were studied. The data were collected by using structured questionnaire to assess food handler's knowledge onfood hygiene and their practices including 100 samples (56 samples from catering 1, 22 catering 2, 12 catering 3 and 10 samples from catering 4). Observational check list was used to assess the physical characteristics and hygienic situation in airlines catering premises and food handlers. Microbiological examinations used for Total Plate Count (TPC), isolate and identification Staphylococcus aureus, Escherichia coli and salmonella. Data were analyzed using the Statistical Package for Social Sciences (version 16.0).Results: The study showed that 56% of food handlers have higher secondary school certificate, 83% of food handlers knew causative agent of food borne disease,72% knew when washed their work surfaces and 72% knew how to care with open lesions during food handling. Analysis showed significant difference (p=0.023) between respondents’ knowledge and their educational level. More than half (58%) of food handlers did not report during illness; only 42% received training in food hygiene. seventy five percent of the catering managers were not trained on food safety management system. There was statistically significant difference between trained (professional) handlers and non-trained handlers with regard to food hygiene practices (P =0.038). Fifty percent of catering premises were in bad situation (ventilation, cleaning, lightening, pest control) and poor hand washing facilities; only 25% of these catering have quality control system. The highest bacterial count from the hands samples was 8.5x106 CFU /mland the lowest 1.2x106 CFU /ml; 54.5% of sample tested positive for E. coli; 72.7% for S. aureus and 36.6% for salmonella from food handler’s hands.Conclusion: This study revealed poor sanitary conditions in airlines catering, and poor food hygiene practices of some handlers indicating higher probability of food being contaminated before service. The occurrence of indicator microorganisms in most of the hand samples indicating a need for improvement in the environment hygiene and sanitary facilities. The study recommends hygiene education to improve the knowledge and practices of food handlers.
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Comment cette classification a été obtenuedéplier
Prédiction machine sur la base complète
Imitation des enseignantsNi prévalence calibrée, ni vérité terrain. Validation humaine à venir. Le volet Gemma est une étiquette directe du modèle pour chaque travail de la base, lue sur la notice réduite au titre. Le volet Codex est un classifieur appris des 10 348 étiquettes directes de Codex et calibré sur les taux pondérés de l'échantillon; les champs sans appui suffisant ne portent aucun appel Codex. Le mode candidate est l'union des deux volets; le consensus est leur intersection. Ces sorties portent le statut machine_predicted_unvalidated et ne sont pas des étiquettes humaines.
Scores du classifieur distillé par catégorie (deux têtes)
| Catégorie | Codex | Gemma |
|---|---|---|
| Métarecherche | 0,000 | 0,001 |
| Méta-épidémiologie (sens strict) | 0,000 | 0,000 |
| Méta-épidémiologie (sens large) | 0,000 | 0,000 |
| Bibliométrie | 0,001 | 0,001 |
| Études des sciences et des technologies | 0,001 | 0,000 |
| Communication savante | 0,001 | 0,000 |
| Science ouverte | 0,000 | 0,000 |
| Intégrité de la recherche | 0,000 | 0,000 |
| Charge utile insuffisante (le modèle a refusé de juger) | 0,002 | 0,000 |
Scores machine (provisoires)
Les deux têtes enseignantes du modèle étudiant, lues sur ce travail. Un score ordonne la base pour la relecture; il n'affirme jamais une catégorie, et le statut de validation accompagne chaque rangée tel quel.
Scores de référence d'un modèle non mature (critères de maturité non atteints, 7 itérations). Un score ordonne; il n'affirme jamais une catégorie.
score_only:v0-immature-baseline · tel quel depuis la passe de notation : score_only signifie que le nombre peut ordonner les travaux, et qu'aucune étiquette de catégorie n'en découleClassification
machine, non validéePrédiction automatique; un appel candidat d’une seule source (Gemma direct ou Codex distillé), pas un consensus.
Le détail, modèle par modèle et score par score, se trouve en fin de page sous « Comment cette classification a été obtenue ».