Descriptive analysis of changes in Ghana's food availability and food safety information between 2010 and 2020
Notice bibliographique
Résumé
Access to safe, nutritious, and sufficient food is essential to ensure food and nutrition security and healthy lives for all. Secure access to nutritious food ensures healthy eating habits, economic growth, and stability in an economy. However, food insecurity and malnutrition persist globally. In Ghana, more than half of food-insecure people reside in the Northern ecological zones of the country. Moreover, Ghana lacks a systematic food security monitoring system to track food insecurity among vulnerable populations. This study reviewed existing evidence on the current situation and changes related to food production, trade, safety, and consumption in Ghana, as part of the process to develop food-based dietary guidelines for the country. The literature review included peer-reviewed articles published from 2010 – 2020 in Ghana to document household-level food production, consumption, and safety issues. In addition, food disappearance data (from 2010 to 2018) from the Food and Agriculture Organization of the United Nations was analysed. Means and compound annual growth rates were calculated for each food item included. The results showed that per capita food production was higher than per capita consumption in all the food categories studied, except for vegetables, and fish and fishery products. Food consumption was centred on a few priority staple crops such as cassava, maize, rice, and yams, with less consideration given to underutilised foods such as akokono (palm weevil larvae). Food imports exceeded food exports in all food categories except 1) cocoa beans and products, 2) root crops and tubers, 3) oil-bearing crops and nuts, and 4) fruits and products. Fruit and vegetable consumption in Ghana has been declining since 2013. There was also a rise in the import and consumption of processed foods, especially tomato paste, sugars, and alcoholic and non-alcoholic beverages. Food safety issues included microbial contamination, aflatoxin contamination, polycyclic aromatic hydrocarbons in smoked fish, mercury in fish, pesticide and heavy metal residues in vegetables and fruits, and food adulteration. The evidence synthesized from this study will be useful to inform the development of food-based dietary guidelines for Ghana. Key words: Food, production, trade, consumption, food security, safety, Ghana
Récupéré en direct depuis OpenAlex et désinversé. Les résumés ne sont pas conservés dans cette base de données : les index inversés représentent 8,6 Go des 9,3 Go de texte de la base, et le serveur dispose de 13 Go libres.
Comment cette classification a été obtenuedéplier
Prédiction distillée sur la base complète
Imitation des enseignantsNi prévalence calibrée, ni vérité terrain. Validation humaine à venir. Apprise à partir de 10 348 étiquettes directes de Codex et de 10 348 étiquettes directes de Gemma. Le mode candidate est l'union des têtes enseignantes seuillées; le consensus est leur intersection. Ces sorties portent le statut machine_predicted_unvalidated et ne sont ni des étiquettes humaines ni des étiquettes directes de modèles de pointe.
Scores Codex et Gemma par catégorie
| Catégorie | Codex | Gemma |
|---|---|---|
| Métarecherche | 0,001 | 0,000 |
| Méta-épidémiologie (sens strict) | 0,000 | 0,000 |
| Méta-épidémiologie (sens large) | 0,000 | 0,000 |
| Bibliométrie | 0,000 | 0,001 |
| Études des sciences et des technologies | 0,001 | 0,000 |
| Communication savante | 0,000 | 0,000 |
| Science ouverte | 0,000 | 0,000 |
| Intégrité de la recherche | 0,000 | 0,001 |
| Charge utile insuffisante (le modèle a refusé de juger) | 0,000 | 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 tête enseignante, 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 ».