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Enregistrement W2011721641 · doi:10.1016/s2214-109x(13)70170-0

Reassessing the value of vaccines

2014· article· en· W2011721641 sur OpenAlexaff
Till Bärnighausen, Seth Berkley, Zulfiqar A Bhutta, David Bishai, Maureen M. Black, David E. Bloom, Dagna Constenla, Julia Driessen, John Edmunds, David Evans, Ulla Griffiths, Peter M. Hansen, Farah Naz Hashmani, Raymond Hutubessy, Dean T. Jamison, Prabhat Jha, Mark Jit, Hope L. Johnson, Ramanan Laxminarayan, Bruce Y. Lee, Sharmila Mhatre, Anne Mills, Anders Nordström, Sachiko Ozawa, Lisa A. Prosser, Karlee Silver, Christine Stabell Benn, Baudouin Standaert, Damian Walker

Notice bibliographique

RevueThe Lancet Global Health · 2014
Typearticle
Langueen
DomaineSocial Sciences
ThématiqueVaccine Coverage and Hesitancy
Établissements canadiensInternational Development Research CentreUniversity of Toronto
Organismes subventionnairesWellcome TrustWorld Health Organization
Mots-clésLife expectancyScopusImmunizationVaccinationGlobal healthPolitical scienceEconomic growthMedicineAlliancePublic healthMEDLINEPopulationEnvironmental healthImmunologyEconomics

Résumé

récupéré en direct d'OpenAlex

In May, 1974, WHO launched the Expanded Programme on Immunization—the global programme to immunise children worldwide with a set of (at the time) six core vaccines. 40 years on, the GAVI Alliance has brought us together, a group of 29 leading technical experts in health and development economics, cognitive development, epidemiology, disease burden, and economic modelling to review and understand the broader outcomes of vaccines beyond morbidity and mortality, to identify research opportunities, and to create a research agenda that will help to further quantify the value of this effect. What is the value of immunising every child with all 11 vaccines that WHO now recommends,1WHOSummary of WHO position papers—recommendations for routine immunization.http://www.who.int/immunization/policy/Immunization_routine_table1.pdf?ua=1Google Scholar beyond the prevention of illness and death? The full benefits of childhood vaccination could reach well into a child's life, through adulthood, into the wider community, and, ultimately, the national economy.2Jamison DT Summers LH Alleyne G et al.Global health 2035: a world converging within a generation.Lancet. 2013; 382: 1898-1955Summary Full Text Full Text PDF PubMed Scopus (727) Google Scholar Some evidence of these benefits has already been generated, but gaps in knowledge remain. For example, preliminary research suggests that a 5-year improvement in life expectancy can translate into 0·3–0·5% more annual growth added to income per head.3Bloom DE Canning D The health and wealth of nations.Science. 2000; 287: 1207-1209Crossref PubMed Scopus (397) Google Scholar Similarly, results of research done in Bangladesh show that the benefits of antibodies from maternal tetanus vaccinations passing from a mother to her unborn child can lead to gains of about 0·25 years of schooling for children whose parents did not attend school.4Canning D Razzaque A Driessen J Walker DG Streatfield PK Yunus M The effect of maternal tetanus immunization on children's schooling attainment in Matlab, Bangladesh: follow-up of a randomized trial.Soc Sci Med. 2011; 72: 1429-1436Crossref PubMed Scopus (26) Google Scholar And findings from the Philippines showed that vaccinations induced improvements in test scores in children,5Bloom DE Canning D Shenoy ES The effect of vaccination on children's physical and cognitive development in the Philippines.Appl Econ. 2012; 44: 2777-2783Crossref Scopus (39) Google Scholar which had a return on investment as high as 21% when translated into the earning gains of adults.6Bloom DE The value of vaccination.Adv Exp Med Biol. 2011; 697: 1-8Crossref PubMed Scopus (55) Google Scholar Meanwhile in South Africa, researchers have shown a significant association between coverage of measles vaccination and the level of school-grade attainment in sibling-pairs, after controlling for intrinsic factors such as birth order, education levels of parents, and household wealth.7Anekwe T, Newell M, Bärnighausen T. The impact of measles vaccination on educational attainment in rural KwaZulu-Natal. GAVI Alliance Value of Vaccines Meeting; Annecy, France; Jan 14–15, 2013.Google Scholar This research suggests that, on average, 1 year of schooling is gained for every six children vaccinated against measles. But evidence to link health inputs and wealth outcomes needs to be further assessed and investigated. Vaccines are usually given when the rate of brain development is at its peak, which can benefit cognitive development through prevention of illness and its neurological complications (eg, encephalitis). But so far, the only evidence for this model is based on observational studies; such studies are an important first step, but more work is needed. Similarly, evidence for the positive links between vaccines and the educational attainment of children, or how improvements in child survival can lead to lower fertility rates, exists but needs more elaboration. And although it seems obvious that repeated infections would have a synergistic negative effect, infections are still assessed in isolation. Similarly, there is evidence for links between improvements in survival, cognition, physical capacity, and educational attainment, and increases in workforce supply and productivity.8Deogaonkar R Hutubessy van der Putten I Evers S Jit M Systematic review of studies evaluating the broader economic impact of vaccination in low and middle income countries.BMC Public Health. 2012; 12: 878Crossref PubMed Scopus (64) Google Scholar How reductions in mortality and morbidity can boost consumption and gross domestic product (GDP) can be modelled, but to understand these links better, more research is needed. Although it follows logically that vaccination can prevent disease and therefore reduce health-care costs, more evidence is needed. This is also the case for evidence that links loss of productivity with specific diseases. We have some evidence, but the picture remains incomplete. Follow-up studies for education and income are needed. For expediency, these studies could be done through follow-up of previous randomised controlled trials and through investigators finding clever ways to add these questions onto prospective studies, such as studies embedded in health and demographic surveillance sites. As well as generating new data, it is important to obtain and mine data from previous studies of existing vaccines used in the Expanded Programme on Immunization. Similarly, the links between productivity and specific diseases could be made clearer through the addition of economic or other quantitative socioeconomic analyses to clinical trials of new vaccines, such as those against dengue and malaria. Also, the need for different metrics to measure the effectiveness of vaccines could be met by the use of economic approaches that include broader measures of wellbeing, such as willingness to pay and value of statistical life.2Jamison DT Summers LH Alleyne G et al.Global health 2035: a world converging within a generation.Lancet. 2013; 382: 1898-1955Summary Full Text Full Text PDF PubMed Scopus (727) Google Scholar These measures are by no means perfect and are not straightforward to interpret when applied to childhood vaccination. One of the difficulties in interpretation is that it can be problematic to separate the effect of vaccinations from other health-care interventions during assessment of costs and benefits. Clearly, a lot of work still needs to be done, but the potential rewards are huge. Two studies have already been commissioned by GAVI to try to fill these gaps—one in Nigeria will explore issues of equity and trust (these issues can play a part in the overall effect and coverage of vaccines); the other will look for new evidence of economic benefits with vaccination in India. However, GAVI is not a research organisation. The main drive must come from the broader academic community and not simply organisations traditionally concerned with vaccines. Mortality reduction is already reason enough to have every child on this planet fully immunised, as shown by the Millennium Development Goals and the post-2015 development agenda. Now this fight is not simply about saving lives, but about maximising the full lifetime potential of these children and the economic health of the families and countries in which they live. This online publication has been corrected. The corrected version first appeared at thelancet.com/lancetgh on May 22, 2014 This online publication has been corrected. The corrected version first appeared at thelancet.com/lancetgh on May 22, 2014 We declare that we have no competing interests. Lancet Glob Health 2014; 2: e252Bärnighausen T, Berkley S, Bhutta ZA, et al. Reassessing the value of vaccines. Lancet Glob Health 2014; 2: e251–52—In this Comment, the affiliation for Sachiko Ozawa should have been “Johns Hopkins Bloomberg School of Public Health, Baltimore, MD, USA”. This correction has been made to the online version as of May 22, 2014. Full-Text PDF Open Access

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 candidatesaucune
Catégories consensuellesaucune
DomaineSignal candidat: aucune · Signal consensuel: aucune
Devis d'étudeSignal candidat: Théorique ou conceptuel · Signal consensuel: aucune
GenreSignal candidat: Empirique · Signal consensuel: Empirique
Score de désaccord entre enseignants0,738
Score d'incertitude au seuil1,000

Scores Codex et Gemma par catégorie

CatégorieCodexGemma
Métarecherche0,0020,000
Méta-épidémiologie (sens strict)0,0000,000
Méta-épidémiologie (sens large)0,0000,000
Bibliométrie0,0000,000
Études des sciences et des technologies0,0010,000
Communication savante0,0000,000
Science ouverte0,0000,000
Intégrité de la recherche0,0000,000
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 Opus0,037
Tête enseignante GPT0,392
Écart entre enseignants0,356 · 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 tête enseignante, 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
GenreEmpirique

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

En bref

Citations65
Publié2014
Routes d'admission1
Résumé présentoui

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