James, WHM orcid.org/0000-0002-3273-4688, Tejedor-Garavito, N, Hanspal, SE et al. (10 more authors) (2018) Gridded birth and pregnancy datasets for Africa, Latin America and the Caribbean. Scientific Data, 5. 180090. ISSN 2052-4463
Abstract
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.
Metadata
Item Type: | Article |
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Authors/Creators: |
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Copyright, Publisher and Additional Information: | © The Author(s) 2018. This is an open access article under the terms of the Creative Commons Attribution 4.0 International (CC BY 4.0) (https://creativecommons.org/licenses/by/4.0/). |
Dates: |
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Institution: | The University of Leeds |
Academic Units: | The University of Leeds > Faculty of Environment (Leeds) > School of Geography (Leeds) > Centre for Spatial Analysis & Policy (Leeds) |
Depositing User: | Symplectic Publications |
Date Deposited: | 25 Jun 2019 11:14 |
Last Modified: | 26 Jun 2019 14:46 |
Status: | Published |
Publisher: | Nature Research |
Identification Number: | 10.1038/sdata.2018.90 |
Open Archives Initiative ID (OAI ID): | oai:eprints.whiterose.ac.uk:147596 |