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Using open-source data to construct 20 metre resolution maps of children’s travel time to the nearest health facility
Physical access to health facilities is an important factor in determining treatment seeking behaviour and has implications for targets within the Sustainable Development Goals, including the right to health. The increased availability of high-resolution land cover and road data from satellite image...
Autores principales: | , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Nature Publishing Group UK
2022
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9113998/ https://www.ncbi.nlm.nih.gov/pubmed/35581259 http://dx.doi.org/10.1038/s41597-022-01274-w |
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author | Watmough, Gary R. Hagdorn, Magnus Brumhead, Jodie Seth, Sohan Delamónica, Enrique Haddon, Charlotte Smith, William C. |
author_facet | Watmough, Gary R. Hagdorn, Magnus Brumhead, Jodie Seth, Sohan Delamónica, Enrique Haddon, Charlotte Smith, William C. |
author_sort | Watmough, Gary R. |
collection | PubMed |
description | Physical access to health facilities is an important factor in determining treatment seeking behaviour and has implications for targets within the Sustainable Development Goals, including the right to health. The increased availability of high-resolution land cover and road data from satellite imagery offers opportunities for fine-grained estimations of physical access which can support delivery planning through the provision of more realistic estimates of travel times. The data presented here is of travel time to health facilities in Uganda, Zimbabwe, Tanzania, and Mozambique. Travel times have been calculated for different facility types in each country such as Dispensaries, Health Centres, Clinics and Hospitals. Cost allocation surfaces and travel times are provided for child walking speeds but can be altered easily to account for adult walking speeds and motorised transport. With a focus on Uganda, we describe the data and method and provide the travel maps, software and intermediate datasets for Uganda, Tanzania, Zimbabwe and Mozambique. |
format | Online Article Text |
id | pubmed-9113998 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | Nature Publishing Group UK |
record_format | MEDLINE/PubMed |
spelling | pubmed-91139982022-05-19 Using open-source data to construct 20 metre resolution maps of children’s travel time to the nearest health facility Watmough, Gary R. Hagdorn, Magnus Brumhead, Jodie Seth, Sohan Delamónica, Enrique Haddon, Charlotte Smith, William C. Sci Data Data Descriptor Physical access to health facilities is an important factor in determining treatment seeking behaviour and has implications for targets within the Sustainable Development Goals, including the right to health. The increased availability of high-resolution land cover and road data from satellite imagery offers opportunities for fine-grained estimations of physical access which can support delivery planning through the provision of more realistic estimates of travel times. The data presented here is of travel time to health facilities in Uganda, Zimbabwe, Tanzania, and Mozambique. Travel times have been calculated for different facility types in each country such as Dispensaries, Health Centres, Clinics and Hospitals. Cost allocation surfaces and travel times are provided for child walking speeds but can be altered easily to account for adult walking speeds and motorised transport. With a focus on Uganda, we describe the data and method and provide the travel maps, software and intermediate datasets for Uganda, Tanzania, Zimbabwe and Mozambique. Nature Publishing Group UK 2022-05-17 /pmc/articles/PMC9113998/ /pubmed/35581259 http://dx.doi.org/10.1038/s41597-022-01274-w Text en © The Author(s) 2022 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 Watmough, Gary R. Hagdorn, Magnus Brumhead, Jodie Seth, Sohan Delamónica, Enrique Haddon, Charlotte Smith, William C. Using open-source data to construct 20 metre resolution maps of children’s travel time to the nearest health facility |
title | Using open-source data to construct 20 metre resolution maps of children’s travel time to the nearest health facility |
title_full | Using open-source data to construct 20 metre resolution maps of children’s travel time to the nearest health facility |
title_fullStr | Using open-source data to construct 20 metre resolution maps of children’s travel time to the nearest health facility |
title_full_unstemmed | Using open-source data to construct 20 metre resolution maps of children’s travel time to the nearest health facility |
title_short | Using open-source data to construct 20 metre resolution maps of children’s travel time to the nearest health facility |
title_sort | using open-source data to construct 20 metre resolution maps of children’s travel time to the nearest health facility |
topic | Data Descriptor |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9113998/ https://www.ncbi.nlm.nih.gov/pubmed/35581259 http://dx.doi.org/10.1038/s41597-022-01274-w |
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