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Enregistrement W1957599487 · doi:10.1590/s0042-96862003000300013

The Healthy Cities approach-- reflections on a framework for improving global health.

2003· article· en· W1957599487 sur OpenAlexaboutno aff
Niyi Awofeso

Notice bibliographique

RevuePubMed · 2003
Typearticle
Langueen
DomaineBusiness, Management and Accounting
ThématiqueGlobal Public Health Policies and Epidemiology
Établissements canadiensnon disponible
Organismes subventionnairesnon disponible
Mots-clésPublic healthEnthusiasmConventionPoliticsPublic relationsAction (physics)Health promotionEconomic growthSociologyPolitical scienceMedicineSocial sciencePsychologyLawNursingEconomics

Résumé

récupéré en direct d'OpenAlex

The roots of the Healthy Cities concept may be traced back to 1844, when the Health of Towns Association was formed in the United Kingdom to deliberate on Edwin Chadwick's reports about poor living conditions in towns and cities. The revival of those concerns in the public era dates from the Healthy Toronto 2000 convention in 1984 and, subsequently, the enthusiasm of the World Health Organization (WHO) Regional Office for Europe to translate its principles into a tangible global programme of action to promote health. WHO defines a Healthy City as that is continually developing those public policies and creating those physical and social environments which enable its people to mutually support each other in carrying out all functions of life and achieving their full potential. This philosophy seeks to enhance the holistic well-being of people who live and work in cities, based on four criteria: (a) explicit political commitment at the highest levels to the principles and strategies of a Healthy Cities project; (b) establishment of new organizational structures to manage change; (c) commitment to developing a shared vision for the city, with a healthy plan and work on specific themes; and (d) investment in formal and informal networking and cooperation. The concept is founded on the moral and political beliefs that inequalities in social conditions (and therefore health) are unjustified and that their reduction should be an overriding public health objective. While the entry point of the Healthy Cities approach is health, its underlying rationale has always been based on a model of good urban governance, which includes broad political commitment, intersectoral planning, citywide partnerships, community participation, and monitoring and evaluation. The Healthy Cities principles draw on various work on the social determinants of health, notably studies initiated by Thomas McKeown. However, its proponents rightly diverged from McKeown's overemphasis on the invisible hand of improved nutrition at the expense of various types of important social interventions, such as improvements in living and working conditions, public education, medical science, democratic governance, public health practices, and human rights. The International Healthy Cities Foundation partners are drawn from leaders in these sectors. The strategy also takes account of the increasing recognition of the complex effects of urbanization on health. Rapidly growing cities in Africa, Asia, and the Americas constitute the majority of the 300 cities with over one million inhabitants. While poor people in urban cities operate under the most life-threatening living and working conditions, their high concentration nevertheless provides opportunities for improving health: economies of proximity greatly reduce unit costs for provision of piped water, sewers, rubbish collection, immunization services, schools and public transport. Recent United Nations statistics estimate that, by 2007, more than half of the world's population will live in urban areas. Thus, Healthy Cities may be viewed as a set of public health strategies of potential benefit to more than half the people in the world. Now in its second decade, a number of important achievements have been attributed to this approach. For example, California's Healthy Cities and Communities programme, which began in 1987, has contributed significantly to improving the state's health profile through a multitiered strategy that includes technical assistance, funding, promotion, coordination and collaboration, systems reform, programme evaluation, and recognition. However, the effectiveness of Healthy Cities has largely been confined to industrialized countries, for a number of reasons. First, although its proponents acknowledge that conventional public health projects for the prevention or treatment of diseases did not adequately take account of health risks such as poverty, urban violence and terrorism, the predominantly functionalist health promotion framework within which the Healthy Cities approach operates makes it less likely to focus effectively on these underpinnings of unhealthy cities. …

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 enseignants

Ni 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.

score de la tête « metaresearch » (Codex)0,020
score de la tête « metaresearch » (Gemma)0,008
Version: metacan-v3-hybrid-931329e0061cStatut de validation: machine_predicted_unvalidated
Catégories candidatesaucune
Catégories consensuellesaucune
DomaineSignal candidat: aucune · Signal consensuel: aucune
Devis d'étudeSignal candidat: Théorique ou conceptuel · Signal consensuel: Théorique ou conceptuel
GenreSignal candidat: Synthèse · Signal consensuel: aucune
Score de désaccord entre enseignants0,031
Score d'incertitude au seuil0,139

Scores du classifieur distillé par catégorie (deux têtes)

CatégorieCodexGemma
Métarecherche0,0200,008
Méta-épidémiologie (sens strict)0,0010,001
Méta-épidémiologie (sens large)0,0010,001
Bibliométrie0,0020,003
Études des sciences et des technologies0,0130,049
Communication savante0,0230,023
Science ouverte0,0040,031
Intégrité de la recherche0,0170,022
Charge utile insuffisante (le modèle a refusé de juger)0,0070,001

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.

Tête enseignante Opus0,092
Tête enseignante GPT0,352
Écart entre enseignants0,260 · la distance entre les deux têtes enseignantes sur ce seul travail
Statut de validationscore_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 découle

Classification

machine, non validée

Prédiction automatique; un appel candidat d’une seule source (Gemma direct ou Codex distillé), pas un consensus.

Les modèles n’ont appliqué aucune catégorie : rien dans la taxonomie ne correspondait à ce travail.
Devis d'étudeThéorique ou conceptuel
Domainenon disponible
GenreSynthèse

Le détail, modèle par modèle et score par score, se trouve en fin de page sous « Comment cette classification a été obtenue ».

En bref

Citations41
Publié2003
Routes d'admission1
Résumé présentoui

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