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Gridded birth and pregnancy datasets for Africa, Latin America and the Caribbean
Understanding the fine scale spatial distribution of births and pregnancies is crucial for informing planning decisions related to public health. This is especially important in lower income countries where infectious disease is a major concern for pregnant women and new-borns, as highlighted by the...
Autores principales: | , , , , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Nature Publishing Group
2018
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5963337/ https://www.ncbi.nlm.nih.gov/pubmed/29786689 http://dx.doi.org/10.1038/sdata.2018.90 |
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author | James, W.H.M. Tejedor-Garavito, N. Hanspal, S.E. Campbell-Sutton, A. Hornby, G.M. Pezzulo, C. Nilsen, K. Sorichetta, A. Ruktanonchai, C.W. Carioli, A. Kerr, D. Matthews, Z. Tatem, A.J. |
author_facet | James, W.H.M. Tejedor-Garavito, N. Hanspal, S.E. Campbell-Sutton, A. Hornby, G.M. Pezzulo, C. Nilsen, K. Sorichetta, A. Ruktanonchai, C.W. Carioli, A. Kerr, D. Matthews, Z. Tatem, A.J. |
author_sort | James, W.H.M. |
collection | PubMed |
description | Understanding the fine scale spatial distribution of births and pregnancies is crucial for informing planning decisions related to public health. This is especially important in lower income countries where infectious disease is a major concern for pregnant women and new-borns, as highlighted by the recent Zika virus epidemic. Despite this, the spatial detail of basic data on the numbers and distribution of births and pregnancies is often of a coarse resolution and difficult to obtain, with no co-ordination between countries and organisations to create one consistent set of subnational estimates. To begin to address this issue, under the framework of the WorldPop program, an open access archive of high resolution gridded birth and pregnancy distribution datasets for all African, Latin America and Caribbean countries has been created. Datasets were produced using the most recent and finest level census and official population estimate data available and are at a resolution of 30 arc seconds (approximately 1 km at the equator). All products are available through WorldPop. |
format | Online Article Text |
id | pubmed-5963337 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2018 |
publisher | Nature Publishing Group |
record_format | MEDLINE/PubMed |
spelling | pubmed-59633372018-05-30 Gridded birth and pregnancy datasets for Africa, Latin America and the Caribbean James, W.H.M. Tejedor-Garavito, N. Hanspal, S.E. Campbell-Sutton, A. Hornby, G.M. Pezzulo, C. Nilsen, K. Sorichetta, A. Ruktanonchai, C.W. Carioli, A. Kerr, D. Matthews, Z. Tatem, A.J. Sci Data Data Descriptor Understanding the fine scale spatial distribution of births and pregnancies is crucial for informing planning decisions related to public health. This is especially important in lower income countries where infectious disease is a major concern for pregnant women and new-borns, as highlighted by the recent Zika virus epidemic. Despite this, the spatial detail of basic data on the numbers and distribution of births and pregnancies is often of a coarse resolution and difficult to obtain, with no co-ordination between countries and organisations to create one consistent set of subnational estimates. To begin to address this issue, under the framework of the WorldPop program, an open access archive of high resolution gridded birth and pregnancy distribution datasets for all African, Latin America and Caribbean countries has been created. Datasets were produced using the most recent and finest level census and official population estimate data available and are at a resolution of 30 arc seconds (approximately 1 km at the equator). All products are available through WorldPop. Nature Publishing Group 2018-05-22 /pmc/articles/PMC5963337/ /pubmed/29786689 http://dx.doi.org/10.1038/sdata.2018.90 Text en Copyright © 2018, The Author(s) http://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/ The Creative Commons Public Domain Dedication waiver http://creativecommons.org/publicdomain/zero/1.0/ applies to the metadata files made available in this article. |
spellingShingle | Data Descriptor James, W.H.M. Tejedor-Garavito, N. Hanspal, S.E. Campbell-Sutton, A. Hornby, G.M. Pezzulo, C. Nilsen, K. Sorichetta, A. Ruktanonchai, C.W. Carioli, A. Kerr, D. Matthews, Z. Tatem, A.J. Gridded birth and pregnancy datasets for Africa, Latin America and the Caribbean |
title | Gridded birth and pregnancy datasets for Africa, Latin America and the Caribbean |
title_full | Gridded birth and pregnancy datasets for Africa, Latin America and the Caribbean |
title_fullStr | Gridded birth and pregnancy datasets for Africa, Latin America and the Caribbean |
title_full_unstemmed | Gridded birth and pregnancy datasets for Africa, Latin America and the Caribbean |
title_short | Gridded birth and pregnancy datasets for Africa, Latin America and the Caribbean |
title_sort | gridded birth and pregnancy datasets for africa, latin america and the caribbean |
topic | Data Descriptor |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5963337/ https://www.ncbi.nlm.nih.gov/pubmed/29786689 http://dx.doi.org/10.1038/sdata.2018.90 |
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