A subnational reproductive, maternal, newborn, child, and adolescent health and development atlas of India
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 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.
Pezzulo, Carla
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Tejedor Garavito, Natalia
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Chan, Ho Man Theophilus
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Dreoni, Ilda
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Kerr, David
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Ghosh, Samik
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Bonnie, Amy
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Bondarenko, Maksym
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Salasibew, Mihretab
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Tatem, Andrew
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10 February 2023
Pezzulo, Carla
876a5393-ffbd-479a-9edf-f72a59ca2cb5
Tejedor Garavito, Natalia
26fd242c-c882-4210-a74d-af2bb6753ee3
Chan, Ho Man Theophilus
5bf76c72-ef36-45cb-990e-d6a00d8781f0
Dreoni, Ilda
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Kerr, David
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Ghosh, Samik
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Bonnie, Amy
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Bondarenko, Maksym
1cbea387-2a42-4061-9713-bbfdf4d11226
Salasibew, Mihretab
c3d14de7-944b-4e5f-a198-4bdbdf4402b0
Tatem, Andrew
6c6de104-a5f9-46e0-bb93-a1a7c980513e
Pezzulo, Carla, Tejedor Garavito, Natalia, Chan, Ho Man Theophilus, Dreoni, Ilda, Kerr, David, Ghosh, Samik, Bonnie, Amy, Bondarenko, Maksym, Salasibew, Mihretab and Tatem, Andrew
(2023)
A subnational reproductive, maternal, newborn, child, and adolescent health and development atlas of India.
Scientific Data, 10 (1), [86].
(doi:10.1038/s41597-023-01961-2).
Abstract
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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s41597-023-01961-2
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Accepted/In Press date: 11 January 2023
Published date: 10 February 2023
Additional Information:
Funding Information:
The work is funded by the Children’s Investment Foundation Fund (CIFF) (R-2009-05106). The authors acknowledge the support of the PMO Team at WorldPop and would like to thank Evidence Measurement Evaluation (EME) team and India Programme Team at CIFF for their inputs and continuous support, and all staff at CIFF who provided feedback at each stage of this work, and in particular Stuti Tripathi, Awdhesh Yadav and Kerri Wazny. Moreover, the authors would like to thank the DHS Program staff for their input on the construction of some of the indicators. This work was approved by the ethics and research governance committee at the University of Southampton (ERGO 64920). Moreover, the authors would like to thank Chigozie Edson Utazi and Oliver Pannell for their support in the initial stages of the project. This study was carried out with support from a grant provided by the Children’s Investment Fund Foundation (CIFF) (Grant number: R-2009-05106). The views expressed are those of the authors and do not necessarily reflect the views of CIFF. Maps used on this website are for general illustration only, and are not intended to be used for reference purposes. The representation of political boundaries does not necessarily reflect the position of the author(s) or their organisation’s view on the legal status of a country or territory.
Funding Information:
The work is funded by the Children’s Investment Foundation Fund (CIFF) (R-2009-05106). The authors acknowledge the support of the PMO Team at WorldPop and would like to thank Evidence Measurement Evaluation (EME) team and India Programme Team at CIFF for their inputs and continuous support, and all staff at CIFF who provided feedback at each stage of this work, and in particular Stuti Tripathi, Awdhesh Yadav and Kerri Wazny. Moreover, the authors would like to thank the DHS Program staff for their input on the construction of some of the indicators. This work was approved by the ethics and research governance committee at the University of Southampton (ERGO 64920). Moreover, the authors would like to thank Chigozie Edson Utazi and Oliver Pannell for their support in the initial stages of the project. This study was carried out with support from a grant provided by the Children’s Investment Fund Foundation (CIFF) (Grant number: R-2009-05106). The views expressed are those of the authors and do not necessarily reflect the views of CIFF. Maps used on this website are for general illustration only, and are not intended to be used for reference purposes. The representation of political boundaries does not necessarily reflect the position of the author(s) or their organisation’s view on the legal status of a country or territory.
Funding Information:
The 2015–16 India National Family Health Survey (NFHS-4) was conducted by the Ministry of Health and Family Welfare, Government of India and International Institute for Population Sciences, Mumbai, with the technical assistance of ICF through the Demographic and Health Surveys (DHS) Program (funded by USAID). NFHS-4 provides estimates of fertility, mortality, family planning, reproductive, maternal and child health, wealth and nutrition indicators at the national and state levels. Most of the indicators are also provided for the 640 districts of India (as per the Census, 2011).
Publisher Copyright:
© 2023, The Author(s).
Identifiers
Local EPrints ID: 474823
URI: http://eprints.soton.ac.uk/id/eprint/474823
ISSN: 2052-4463
PURE UUID: d74c2d44-d8de-455d-86c1-86fa8d42e601
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Date deposited: 03 Mar 2023 17:37
Last modified: 13 Jul 2024 02:00
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Author:
David Kerr
Author:
Samik Ghosh
Author:
Amy Bonnie
Author:
Mihretab Salasibew
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