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Protocol for geolocating rural villages of women in Liberia utilizing a maternity waiting home
OBJECTIVE: Geospatial data are used by health systems and researchers to understand disease burdens, trace outbreaks, and allocate resources, however, there are few well-documented protocols for collecting and analyzing geographic information systems data in rural areas of low- and middle-income cou...
Autores principales: | , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
BioMed Central
2019
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6444816/ https://www.ncbi.nlm.nih.gov/pubmed/30940187 http://dx.doi.org/10.1186/s13104-019-4224-1 |
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author | James, K. H. Perosky, J. E. McLean, K. Nyanplu, A. Moyer, C. A. Lori, J. R. |
author_facet | James, K. H. Perosky, J. E. McLean, K. Nyanplu, A. Moyer, C. A. Lori, J. R. |
author_sort | James, K. H. |
collection | PubMed |
description | OBJECTIVE: Geospatial data are used by health systems and researchers to understand disease burdens, trace outbreaks, and allocate resources, however, there are few well-documented protocols for collecting and analyzing geographic information systems data in rural areas of low- and middle-income countries. Even with the proliferation of spatial technologies such as Open Street Map and Google Maps, basic geographic data—such as village locations—are not widely available in many countries in sub-Saharan Africa. The purpose of this paper is to report a step-wise protocol, using geographic information system techniques and tools, developed to collect and analyze the type of spatial data necessary to calculate the distance between rural villages and maternity waiting homes located near rural primary healthcare facilities in Bong County, Liberia. RESULTS: Using a step-wise approach incorporating local healthcare provider knowledge, intensive field work, and spatial technologies such as Open Street Map and Google Maps for village geospatial data collection and verification, we identified village locations of 93.7% of the women who accessed the five maternity waiting homes in our study from 2012 to 2016. |
format | Online Article Text |
id | pubmed-6444816 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2019 |
publisher | BioMed Central |
record_format | MEDLINE/PubMed |
spelling | pubmed-64448162019-04-12 Protocol for geolocating rural villages of women in Liberia utilizing a maternity waiting home James, K. H. Perosky, J. E. McLean, K. Nyanplu, A. Moyer, C. A. Lori, J. R. BMC Res Notes Research Note OBJECTIVE: Geospatial data are used by health systems and researchers to understand disease burdens, trace outbreaks, and allocate resources, however, there are few well-documented protocols for collecting and analyzing geographic information systems data in rural areas of low- and middle-income countries. Even with the proliferation of spatial technologies such as Open Street Map and Google Maps, basic geographic data—such as village locations—are not widely available in many countries in sub-Saharan Africa. The purpose of this paper is to report a step-wise protocol, using geographic information system techniques and tools, developed to collect and analyze the type of spatial data necessary to calculate the distance between rural villages and maternity waiting homes located near rural primary healthcare facilities in Bong County, Liberia. RESULTS: Using a step-wise approach incorporating local healthcare provider knowledge, intensive field work, and spatial technologies such as Open Street Map and Google Maps for village geospatial data collection and verification, we identified village locations of 93.7% of the women who accessed the five maternity waiting homes in our study from 2012 to 2016. BioMed Central 2019-04-02 /pmc/articles/PMC6444816/ /pubmed/30940187 http://dx.doi.org/10.1186/s13104-019-4224-1 Text en © The Author(s) 2019 Open AccessThis article is distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided 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 Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated. |
spellingShingle | Research Note James, K. H. Perosky, J. E. McLean, K. Nyanplu, A. Moyer, C. A. Lori, J. R. Protocol for geolocating rural villages of women in Liberia utilizing a maternity waiting home |
title | Protocol for geolocating rural villages of women in Liberia utilizing a maternity waiting home |
title_full | Protocol for geolocating rural villages of women in Liberia utilizing a maternity waiting home |
title_fullStr | Protocol for geolocating rural villages of women in Liberia utilizing a maternity waiting home |
title_full_unstemmed | Protocol for geolocating rural villages of women in Liberia utilizing a maternity waiting home |
title_short | Protocol for geolocating rural villages of women in Liberia utilizing a maternity waiting home |
title_sort | protocol for geolocating rural villages of women in liberia utilizing a maternity waiting home |
topic | Research Note |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6444816/ https://www.ncbi.nlm.nih.gov/pubmed/30940187 http://dx.doi.org/10.1186/s13104-019-4224-1 |
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