Revisiting child and adolescent health in the context of the Sustainable Development Goals
Notice bibliographique
Résumé
The year 2020-five years since 189 countries signed the Sustainable Development Goals (SDGs)-has been consumed by the global response to COVID-19.To date, this pandemic has resulted in over 38 million cases and well over a million deaths [1].One collateral effect of COVID-19 has been the setting aside of many SDGs and efforts to track progress towards them.Attention to children during the pandemic has concentrated on school closures, food insecurity, and access to care within health systems taxed by COVID-19 mitigation and response efforts [2].The situation of child and adolescent health before COVID-19, and consequences of the pandemic on specific health targets for SDG 3, therefore deserve attention.As the Millennium Development Goals (MDGs) ended in 2015, activities and plans addressed the global compacts for reducing child mortality.A focus was on determinants, such as maternal and child undernutrition, gender inequities, and intersecting vulnerabilities.Because adolescents were largely ignored in the MDG process, advocacy and effort were invested to make them central to the SDG agenda.The renewed global strategy for Every Woman Every Child, launched by the UN Secretary General in 2013, was a segue to the SDGs and an effort to go beyond survival toward a transformative agenda that included healthy development [3].Advocacy for the integration of health, nutrition, and early child development led to the development of the nurturing care framework [4].As we examine the situation more than 5 years into the SDGs, several concerns emerge.Despite progress, the field remains fragmented, with limited actions in countries to develop integrated strategies for reproductive, maternal, newborn and child health (RMNCH), or inclusion of adolescent health within national plans [5].Work on the drivers of adolescent health, well being, and empowerment is underway but has yet to translate into a reasonable global strategy.This lag stems from complex, multilevel social influences during adolescence [6], insufficient disaggregation of data on adolescents, suboptimal measurement and a lack of well-defined indicators [7-9], and limited evidence on the differential impacts of social policies and programs [8] within adolescence and between adolescence and adulthood.Within health systems, many nutrition programs remain poorly integrated with other RMNCH programs and few have substantive links with sectors outside health.With the unfinished agenda for maternal, newborn and child deaths, rigorous studies to address mechanisms and hitherto unrecognized causes of excess mortality are just beginning to yield results, albeit with older pediatric age groups remaining significantly understudied, even at the simplest descriptive
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 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 | 0,017 | 0,025 |
| Méta-épidémiologie (sens strict) | 0,001 | 0,001 |
| Méta-épidémiologie (sens large) | 0,001 | 0,001 |
| Bibliométrie | 0,002 | 0,001 |
| Études des sciences et des technologies | 0,005 | 0,009 |
| Communication savante | 0,010 | 0,009 |
| Science ouverte | 0,003 | 0,018 |
| Intégrité de la recherche | 0,012 | 0,025 |
| Charge utile insuffisante (le modèle a refusé de juger) | 0,009 | 0,001 |
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 ».