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A subnational reproductive, maternal, newborn, child, and adolescent health and development atlas of India

Understanding the fine scale and subnational spatial distribution of reproductive, maternal, newborn, child, and adolescent health and development indicators is crucial for targeting and increasing the efficiency of resources for public health and development planning. National governments are commi...

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Autores principales: Pezzulo, Carla, Tejedor-Garavito, Natalia, Chan, Ho Man Theophilus, Dreoni, Ilda, Kerr, David, Ghosh, Samik, Bonnie, Amy, Bondarenko, Maksym, Salasibew, Mihretab, Tatem, Andrew J.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9918481/
https://www.ncbi.nlm.nih.gov/pubmed/36765058
http://dx.doi.org/10.1038/s41597-023-01961-2
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author Pezzulo, Carla
Tejedor-Garavito, Natalia
Chan, Ho Man Theophilus
Dreoni, Ilda
Kerr, David
Ghosh, Samik
Bonnie, Amy
Bondarenko, Maksym
Salasibew, Mihretab
Tatem, Andrew J.
author_facet Pezzulo, Carla
Tejedor-Garavito, Natalia
Chan, Ho Man Theophilus
Dreoni, Ilda
Kerr, David
Ghosh, Samik
Bonnie, Amy
Bondarenko, Maksym
Salasibew, Mihretab
Tatem, Andrew J.
author_sort Pezzulo, Carla
collection PubMed
description Understanding the fine scale and subnational spatial distribution of reproductive, maternal, newborn, child, and adolescent health and development indicators is crucial for targeting and increasing the efficiency of resources for public health and development planning. National governments are committed to improve the lives of their people, lift the population out of poverty and to achieve the Sustainable Development Goals. We created an open access collection of high resolution gridded and district level health and development datasets of India using mainly the 2015–16 National Family Health Survey (NFHS-4) data, and provide estimates at higher granularity than what is available in NFHS-4, to support policies with spatially detailed data. Bayesian methods for the construction of 5 km × 5 km high resolution maps were applied for a set of indicators where the data allowed (36 datasets), while for some other indicators, only district level data were produced. All data were summarised using the India district administrative boundaries. In total, 138 high resolution and district level datasets for 28 indicators were produced and made openly available.
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spelling pubmed-99184812023-02-12 A subnational reproductive, maternal, newborn, child, and adolescent health and development atlas of India Pezzulo, Carla Tejedor-Garavito, Natalia Chan, Ho Man Theophilus Dreoni, Ilda Kerr, David Ghosh, Samik Bonnie, Amy Bondarenko, Maksym Salasibew, Mihretab Tatem, Andrew J. Sci Data Data Descriptor Understanding the fine scale and subnational spatial distribution of reproductive, maternal, newborn, child, and adolescent health and development indicators is crucial for targeting and increasing the efficiency of resources for public health and development planning. National governments are committed to improve the lives of their people, lift the population out of poverty and to achieve the Sustainable Development Goals. We created an open access collection of high resolution gridded and district level health and development datasets of India using mainly the 2015–16 National Family Health Survey (NFHS-4) data, and provide estimates at higher granularity than what is available in NFHS-4, to support policies with spatially detailed data. Bayesian methods for the construction of 5 km × 5 km high resolution maps were applied for a set of indicators where the data allowed (36 datasets), while for some other indicators, only district level data were produced. All data were summarised using the India district administrative boundaries. In total, 138 high resolution and district level datasets for 28 indicators were produced and made openly available. Nature Publishing Group UK 2023-02-10 /pmc/articles/PMC9918481/ /pubmed/36765058 http://dx.doi.org/10.1038/s41597-023-01961-2 Text en © The Author(s) 2023 https://creativecommons.org/licenses/by/4.0/Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons license, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons license and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this license, visit http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) .
spellingShingle Data Descriptor
Pezzulo, Carla
Tejedor-Garavito, Natalia
Chan, Ho Man Theophilus
Dreoni, Ilda
Kerr, David
Ghosh, Samik
Bonnie, Amy
Bondarenko, Maksym
Salasibew, Mihretab
Tatem, Andrew J.
A subnational reproductive, maternal, newborn, child, and adolescent health and development atlas of India
title A subnational reproductive, maternal, newborn, child, and adolescent health and development atlas of India
title_full A subnational reproductive, maternal, newborn, child, and adolescent health and development atlas of India
title_fullStr A subnational reproductive, maternal, newborn, child, and adolescent health and development atlas of India
title_full_unstemmed A subnational reproductive, maternal, newborn, child, and adolescent health and development atlas of India
title_short A subnational reproductive, maternal, newborn, child, and adolescent health and development atlas of India
title_sort subnational reproductive, maternal, newborn, child, and adolescent health and development atlas of india
topic Data Descriptor
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9918481/
https://www.ncbi.nlm.nih.gov/pubmed/36765058
http://dx.doi.org/10.1038/s41597-023-01961-2
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