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Enregistrement W6976837169 · doi:10.60692/dwvn9-qjs62

Absolute and relative declines in child mortality in India's districts during 2001–12 – Authors' reply

2014· article· en· W6976837169 sur OpenAlexaff

Notice bibliographique

RevueGreater South Information System · 2014
Typearticle
Langueen
DomaineMedicine
ThématiqueDigital Radiography and Breast Imaging
Établissements canadiensCentre for Global Health ResearchUniversity of Toronto
Organismes subventionnairesnon disponible
Mots-clésChild mortalityHuman development (humanity)LaggingGovernment (linguistics)Absolute (philosophy)Infant mortalityInequalityMillennium Development GoalsPoverty

Résumé

récupéré en direct d'OpenAlex

We thank Rajatashuvra Adhikary for his comments on our study1Ram U Jha P Ram F et al.Neonatal, 1–59 month, and under-5 mortality in 597 Indian districts, 2001 to 2012: estimates from national demographic and mortality surveys.Lancet Glob Health. 2013; 1: e219-e226Summary Full Text Full Text PDF Scopus (87) Google Scholar assessing progress from 2001 to 2012 by India's 597 districts towards achievement of the Millennium Development Goal for child mortality (MDG 4). Our classification of poorer states is based on the same system the Indian government uses to define priority states under the National Rural Health Mission, and is similar to the lowest ranking states on the Human Development Index of 2007–082Gandhi A Kumar C Saha P Sahoo BK Sharma A India Human Development Report 2011: Towards social inclusion. Institute of Applied Manpower Research, Planning Commission, Government of India. Oxford University Press, Oxford2011Google Scholar and to development rankings by Jean Drèze and Amartya Sen.3Drèze J Sen A An uncertain glory: India and its contradictions. Princeton University Press, Princeton2013Google Scholar We used absolute goals for 2015 (ie, under-5 mortality of 38 per 1000 livebirths, neonatal mortality of 20 per 1000 livebirths, and 1–59 month mortality of 18 per 1000 livebirths). Declines in child mortality to these absolute levels by 2015 will probably reduce geographical and social inequalities across India. In our analysis that used relative declines, we reached similar conclusions in terms of the number of lagging districts (appendix1Ram U Jha P Ram F et al.Neonatal, 1–59 month, and under-5 mortality in 597 Indian districts, 2001 to 2012: estimates from national demographic and mortality surveys.Lancet Glob Health. 2013; 1: e219-e226Summary Full Text Full Text PDF Scopus (87) Google Scholar). Whereas relative declines are similar across states (figure), the proportion of districts on track to achieve MDG 4 by 2015 varies substantially. Among the richer states, 100% of districts in Kerala and Tamil Nadu are on track, whereas only 43% of districts are on track in Andhra Pradesh. Among the poorer states, the proportion of districts on track varied between 15% in Assam to 0% in Uttar Pradesh and Orissa. Nearly 13 million of the 26 million livebirths in 2012 in India occurred in Uttar Pradesh, Bihar, Madhya Pradesh, Rajasthan, and Orissa, in which fewer than 5% of districts are on track to achieve MDG 4. The National Rural Health Mission and states have, as of 2005, begun to allocate more funding and attention to districts with less progress. Thus, absolute progress during 2001–12 provides the more appropriate indicator for these decisions. Similarly, the districts lagging behind the MDG by less than 5 years can be motivated to accelerate progress. Our provision of these estimates is factual, without a negative or positive tenor. Maharaj K Bhan's accompanying Comment4Bhan MK Accelerated progress to reduce under-5 mortality in India.Lancet Glob Health. 2013; 1: e172-e173Summary Full Text Full Text PDF Scopus (15) Google Scholar correctly identifies that the main need is to obtain estimates on cause-specific mortality that are specific to each district. In particular, improved understanding is needed of how three causes, which account for 80% of neonatal deaths (birth asphyxia or trauma, low birthweight or prematurity, and infection), and two causes, which account for half of deaths at age 1–59 months (pneumonia and diarrhoea), are distributed among the districts of India.5The Million Death Study CollaboratorsCauses of neonatal and child mortality in India: a nationally representative mortality survey.Lancet. 2010; 376: 1853-1860Summary Full Text Full Text PDF PubMed Scopus (335) Google Scholar Direct estimates from representative, rapid, and low-cost surveys of cause of death are an emerging global priority for the post-2015 agenda.6Birbeck GL Wiysonge CS Mills EJ Frenk J Xiao-Nong Z Jha P Global health: the importance of evidence-based medicine.BMC Med. 2013; 11: 223Crossref PubMed Scopus (26) Google Scholar We declare that we have no conflicts of interest. Absolute and relative declines in child mortality in India's districts during 2001–12I greatly appreciate the publication of an excellent and insightful report on childhood mortality in India by Usha Ram and colleagues (October, p e219).1 This report is valuable because it provides, perhaps for the first time in Indian history, reliable estimates of neonatal, 1–59 month, and under-5 mortality for every district of India. The analysis of whether India is on track to meet the UN 2015 Millennium Development Goal for under-5 mortality (MDG 4), or how far India is from the MDG 4 target, is simple but brilliant. 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)0,001
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: Observationnel · Signal consensuel: Observationnel
GenreSignal candidat: Empirique · Signal consensuel: Empirique
Score de désaccord entre enseignants0,021
Score d'incertitude au seuil0,534

Scores Codex et Gemma par catégorie

CatégorieCodexGemma
Métarecherche0,0010,000
Méta-épidémiologie (sens strict)0,0000,000
Méta-épidémiologie (sens large)0,0000,000
Bibliométrie0,0010,000
Études des sciences et des technologies0,0000,000
Communication savante0,0000,001
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 Opus0,019
Tête enseignante GPT0,225
Écart entre enseignants0,207 · 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'étudeObservationnel
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

Citations0
Publié2014
Routes d'admission1
Résumé présentoui

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