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Enregistrement W2167559144 · doi:10.1016/s2214-109x(13)70033-0

Research capacity strengthening in Honduras

2013· letter· en· W2167559144 sur OpenAlexaffabout
Ana Sánchez, Maritza Canales, Lourdes Enríquez, Ada Argentina Zelaya, Vilma Esther Espinoza, Gustavo Fontecha

Notice bibliographique

RevueThe Lancet Global Health · 2013
Typeletter
Langueen
DomaineMedicine
ThématiqueBiotechnology and Related Fields
Établissements canadiensBrock University
Organismes subventionnairesnon disponible
Mots-clésLatin AmericansPovertyProductivityScopusCapacity buildingPolitical scienceEconomic growthDeveloping countryLaggingInvestment (military)Library scienceMedicineMEDLINEEconomicsComputer science

Résumé

récupéré en direct d'OpenAlex

A strong research capacity and robust research systems are essential contributors to the health and development of nations.1Global Forum for Health Research. The 10/90 Report on Health Research 2001–2002. Geneva; 2002.Google Scholar This recognition has prompted significant investments in higher education, research, and innovation in Latin America, a region where health research has traditionally been weak.2Becerra F Cuervo LG Health research in Latin America.Lancet. 2010; 375: 120Summary Full Text Full Text PDF PubMed Scopus (8) Google Scholar Unsurprisingly, this expansion in scientific productivity has not been equally distributed, and most Central American countries are deemed to be scientifically lagging.3Wagner C Brahmakulam I Jackson B Wong A Yoda T Science and Technology Collaboration: Building capacity in developing countries?.http://www.rand.org/content/dam/rand/pubs/monograph_reports/2005/MR1357.0.pdfDate: March, 2001Google Scholar In Honduras, current health research capacity is small. While neighbouring countries take actions to make research a national priority, conditions of extreme poverty, insecurity, and inequity make envisioning the role research plays in society difficult for Honduran leaders. Accordingly, investment in science and technology in Honduras has been abysmally low (roughly 0·04% of the GDP),4RICYTInter-American-TNfSaTI-I-AaUpdated science and technology indicators up to the year 2010 by country: Honduras.http://db.ricyt.org/query/HN/1990,2010/calculadosGoogle Scholar which naturally translates into negligible levels of research productivity. Without the research activity that would demand a formal structure, the country has yet to establish a national health research system.2Becerra F Cuervo LG Health research in Latin America.Lancet. 2010; 375: 120Summary Full Text Full Text PDF PubMed Scopus (8) Google Scholar So, how to boost Honduras's research capacity if so little exists to begin with? Because of the tendency by funders and researchers from developed countries to invest in countries that have some capacity for health research,5McKee M Stuckler D Basu S Where there is no health research: what can be done to fill the global gaps in health research?.PLoS Med. 2012; 9: e1001209Crossref PubMed Scopus (59) Google Scholar with some exceptions, Honduras has been largely overlooked. We are trying to change this trend. Funded by the Global Health Research Initiative of Canada, we have completed a 5-year project of research capacity strengthening at the largest Honduran academic institution, the National Autonomous University of Honduras. We built and improved on previous models of research capacity strengthening6Velho L Research capacity building for development: from old to new assumptions.Sci Technol Soc. 2004; 9: 171-207Crossref Scopus (16) Google Scholar and used an integrated approach not only focused on individual researchers or providing technical assistance but also on fostering an institutional environment that is supportive of safe and ethical science. Our main objective was to establish a locally owned research-based MSc programme in infectious and zoonotic diseases to continually educate new generations of researchers. Additionally, we expanded research networks, built a state-of-the-art research laboratory, installed the National Autonomous University of Honduras's first non-medical research ethics board, and led the creation of a biosafety training centre. We had many obstacles, but 5 years of arduous work have undoubtedly paid off. Students and researchers associated with the project are showing an increased capacity to do research, generate publications, attract funding, and, very importantly, to pursue collaborations with investigators within the region and beyond. Our work in Honduras helped to bridge the proverbial 10/90 gap1Global Forum for Health Research. The 10/90 Report on Health Research 2001–2002. Geneva; 2002.Google Scholar and increased the demand for a national health research system that would increase the production and quality of health research in the country.2Becerra F Cuervo LG Health research in Latin America.Lancet. 2010; 375: 120Summary Full Text Full Text PDF PubMed Scopus (8) Google Scholar We invite the global community to build on our efforts. We declare that we have no conflicts of interest.

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 enseignants

Ni 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.

score de la tête « metaresearch » (Codex)0,002
score de la tête « metaresearch » (Gemma)0,000
Version: codex-gemma-dda1882f352aStatut de validation: machine_predicted_unvalidated
Catégories candidatesIntégrité de la recherche
Catégories consensuellesIntégrité de la recherche
DomaineSignal candidat: aucune · Signal consensuel: aucune
Devis d'étudeSignal candidat: Sans objet · Signal consensuel: Sans objet
GenreSignal candidat: Commentaire · Signal consensuel: Commentaire
Score de désaccord entre enseignants0,023
Score d'incertitude au seuil0,995

Scores Codex et Gemma par catégorie

CatégorieCodexGemma
Métarecherche0,0020,000
Méta-épidémiologie (sens strict)0,0000,000
Méta-épidémiologie (sens large)0,0010,000
Bibliométrie0,0000,001
Études des sciences et des technologies0,0000,000
Communication savante0,0000,000
Science ouverte0,0000,000
Intégrité de la recherche0,0070,029
Charge utile insuffisante (le modèle a refusé de juger)0,0000,000

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.

Tête enseignante Opus0,122
Tête enseignante GPT0,414
Écart entre enseignants0,291 · 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; les deux têtes enseignantes s’accordent sur ce qui est montré ici.

Devis d'étudeSans objet
Domainenon disponible
GenreCommentaire

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

En bref

Citations6
Publié2013
Routes d'admission2
Résumé présentoui

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