{"id":41321,"date":"2023-05-27T06:13:36","date_gmt":"2023-05-27T10:13:36","guid":{"rendered":"https:\/\/gffklportal.org\/knowledge\/optima-nutrition-an-allocative-efficiency-tool-to-reduce-childhood-stunting-by-better-targeting-of-nutrition-related-interventions\/"},"modified":"2023-11-20T10:31:49","modified_gmt":"2023-11-20T15:31:49","slug":"optima-nutrition-an-allocative-efficiency-tool-to-reduce-childhood-stunting-by-better-targeting-of-nutrition-related-interventions","status":"publish","type":"knowledge","link":"https:\/\/gffklportal.org\/fr\/knowledge\/optima-nutrition-an-allocative-efficiency-tool-to-reduce-childhood-stunting-by-better-targeting-of-nutrition-related-interventions\/","title":{"rendered":"Optima Nutrition: un outil d'efficacit\u00e9 allocative visant \u00e0 r\u00e9duire le retard de croissance chez les enfants en ciblant mieux les interventions li\u00e9es \u00e0 la nutrition"},"content":{"rendered":"<div class=\"ewa-rteLine\">Optima Nutrition peut \u00eatre utilis\u00e9 afin d&#8217;estimer comment cibler les ressources pour am\u00e9liorer les r\u00e9sultats en mati\u00e8re de nutrition. En particulier, pour l&#8217;exemple du Bangladesh, malgr\u00e9 un financement limit\u00e9 en mati\u00e8re de nutrition (estim\u00e9 \u00e0 0,75 $ par personne dans le besoin et par an), m\u00eame sans ressources suppl\u00e9mentaires, un meilleur ciblage des investissements dans les programmes de nutrition pourrait augmenter le nombre cumul\u00e9 d&#8217;enfants vivant sans retard de croissance de 1,3 million (soit 5 % de plus) d&#8217;ici \u00e0 2030 par rapport \u00e0 l&#8217;allocation actuelle des ressources. Afin de minimiser les retards de croissance, les interventions prioritaires devraient inclure la promotion de pratiques am\u00e9lior\u00e9es en mati\u00e8re d&#8217;IYCF ainsi que la suppl\u00e9mentation en vitamine A. Une fois ces programmes financ\u00e9s de mani\u00e8re ad\u00e9quate, la fourniture publique d&#8217;aliments compl\u00e9mentaires devrait \u00eatre financ\u00e9e en tant que priorit\u00e9 suivante. Les efforts programmatiques devraient se concentrer sur les r\u00e9gions de Dhaka et de Chittagong, qui comptent le plus grand nombre d&#8217;enfants souffrant d&#8217;un retard de croissance. Des informations compl\u00e9mentaires sont disponibles \u00e0 l&#8217;adresse suivante : http:\/\/optimamodel.com\/nutrition\/<\/div>\n","protected":false},"excerpt":{"rendered":"<p>Optima Nutrition peut \u00eatre utilis\u00e9 afin d&#8217;estimer comment cibler les ressources pour am\u00e9liorer les r\u00e9sultats en mati\u00e8re de nutrition. En particulier, pour l&#8217;exemple du Bangladesh, malgr\u00e9 un financement limit\u00e9 en mati\u00e8re de nutrition (estim\u00e9 \u00e0 0,75 $ par personne dans le besoin et par an), m\u00eame sans ressources suppl\u00e9mentaires, un meilleur ciblage des investissements dans [&hellip;]<\/p>\n","protected":false},"author":70,"featured_media":0,"menu_order":0,"comment_status":"open","ping_status":"closed","template":"","meta":{"_acf_changed":false,"_bbp_topic_count":0,"_bbp_reply_count":0,"_bbp_total_topic_count":0,"_bbp_total_reply_count":0,"_bbp_voice_count":0,"_bbp_anonymous_reply_count":0,"_bbp_topic_count_hidden":0,"_bbp_reply_count_hidden":0,"_bbp_forum_subforum_count":0,"footnotes":""},"knowledge_topics":[1301,290,289,1152,1305],"knowledge_categories":[324],"knowledge_countries":[],"knowledge_tags":[1181,1182],"knowledge_tool_type":[1116],"class_list":["post-41321","knowledge","type-knowledge","status-publish","hentry","knowledge_topics-old_fr_technical-topics","knowledge_topics-processes-fr","knowledge_topics-investment-case-development-fr","knowledge_topics-chiffrage-et-analyse-des-ecarts-financiers","knowledge_topics-nutrition-fr","knowledge_categories-featured-fr","knowledge_tags-analyse-des-ecarts-financiers","knowledge_tags-chiffrage-des-couts","knowledge_tool_type-outil"],"acf":[],"_links":{"self":[{"href":"https:\/\/gffklportal.org\/fr\/wp-json\/wp\/v2\/knowledge\/41321","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/gffklportal.org\/fr\/wp-json\/wp\/v2\/knowledge"}],"about":[{"href":"https:\/\/gffklportal.org\/fr\/wp-json\/wp\/v2\/types\/knowledge"}],"author":[{"embeddable":true,"href":"https:\/\/gffklportal.org\/fr\/wp-json\/wp\/v2\/users\/70"}],"replies":[{"embeddable":true,"href":"https:\/\/gffklportal.org\/fr\/wp-json\/wp\/v2\/comments?post=41321"}],"version-history":[{"count":1,"href":"https:\/\/gffklportal.org\/fr\/wp-json\/wp\/v2\/knowledge\/41321\/revisions"}],"predecessor-version":[{"id":41322,"href":"https:\/\/gffklportal.org\/fr\/wp-json\/wp\/v2\/knowledge\/41321\/revisions\/41322"}],"wp:attachment":[{"href":"https:\/\/gffklportal.org\/fr\/wp-json\/wp\/v2\/media?parent=41321"}],"wp:term":[{"taxonomy":"knowledge_topics","embeddable":true,"href":"https:\/\/gffklportal.org\/fr\/wp-json\/wp\/v2\/knowledge_topics?post=41321"},{"taxonomy":"knowledge_categories","embeddable":true,"href":"https:\/\/gffklportal.org\/fr\/wp-json\/wp\/v2\/knowledge_categories?post=41321"},{"taxonomy":"knowledge_countries","embeddable":true,"href":"https:\/\/gffklportal.org\/fr\/wp-json\/wp\/v2\/knowledge_countries?post=41321"},{"taxonomy":"knowledge_tags","embeddable":true,"href":"https:\/\/gffklportal.org\/fr\/wp-json\/wp\/v2\/knowledge_tags?post=41321"},{"taxonomy":"knowledge_tool_type","embeddable":true,"href":"https:\/\/gffklportal.org\/fr\/wp-json\/wp\/v2\/knowledge_tool_type?post=41321"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}