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Geographic information system for improving maternal and newborn health: recommendations for policy and programs
This correspondence argues and offers recommendations for how Geographic Information System (GIS) applied to maternal and newborn health data could potentially be used as part of the broader efforts for ending preventable maternal and newborn mortality. These recommendations were generated from a te...
Autores principales: | , , , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
BioMed Central
2017
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5225565/ https://www.ncbi.nlm.nih.gov/pubmed/28077095 http://dx.doi.org/10.1186/s12884-016-1199-y |
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author | Molla, Yordanos B. Rawlins, Barbara Makanga, Prestige Tatenda Cunningham, Marc Ávila, Juan Eugenio Hernández Ruktanonchai, Corrine Warren Singh, Kavita Alford, Sylvia Thompson, Mira Dwivedi, Vikas Moran, Allisyn C. Matthews, Zoe |
author_facet | Molla, Yordanos B. Rawlins, Barbara Makanga, Prestige Tatenda Cunningham, Marc Ávila, Juan Eugenio Hernández Ruktanonchai, Corrine Warren Singh, Kavita Alford, Sylvia Thompson, Mira Dwivedi, Vikas Moran, Allisyn C. Matthews, Zoe |
author_sort | Molla, Yordanos B. |
collection | PubMed |
description | This correspondence argues and offers recommendations for how Geographic Information System (GIS) applied to maternal and newborn health data could potentially be used as part of the broader efforts for ending preventable maternal and newborn mortality. These recommendations were generated from a technical consultation on reporting and mapping maternal deaths that was held in Washington, DC from January 12 to 13, 2015 and hosted by the United States Agency for International Development’s (USAID) global Maternal and Child Survival Program (MCSP). Approximately 72 participants from over 25 global health organizations, government agencies, donors, universities, and other groups participated in the meeting. The meeting placed emphases on how improved use of mapping could contribute to the post-2015 United Nation’s Sustainable Development Goals (SDGs), agenda in general and to contribute to better maternal and neonatal health outcomes in particular. Researchers and policy makers have been calling for more equitable improvement in Maternal and Newborn Health (MNH), specifically addressing hard-to-reach populations at sub-national levels. Data visualization using mapping and geospatial analyses play a significant role in addressing the emerging need for improved spatial investigation at subnational scale. This correspondence identifies key challenges and recommendations so GIS may be better applied to maternal health programs in resource poor settings. The challenges and recommendations are broadly grouped into three categories: ancillary geospatial and MNH data sources, technical and human resources needs and community participation. |
format | Online Article Text |
id | pubmed-5225565 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2017 |
publisher | BioMed Central |
record_format | MEDLINE/PubMed |
spelling | pubmed-52255652017-01-17 Geographic information system for improving maternal and newborn health: recommendations for policy and programs Molla, Yordanos B. Rawlins, Barbara Makanga, Prestige Tatenda Cunningham, Marc Ávila, Juan Eugenio Hernández Ruktanonchai, Corrine Warren Singh, Kavita Alford, Sylvia Thompson, Mira Dwivedi, Vikas Moran, Allisyn C. Matthews, Zoe BMC Pregnancy Childbirth Debate This correspondence argues and offers recommendations for how Geographic Information System (GIS) applied to maternal and newborn health data could potentially be used as part of the broader efforts for ending preventable maternal and newborn mortality. These recommendations were generated from a technical consultation on reporting and mapping maternal deaths that was held in Washington, DC from January 12 to 13, 2015 and hosted by the United States Agency for International Development’s (USAID) global Maternal and Child Survival Program (MCSP). Approximately 72 participants from over 25 global health organizations, government agencies, donors, universities, and other groups participated in the meeting. The meeting placed emphases on how improved use of mapping could contribute to the post-2015 United Nation’s Sustainable Development Goals (SDGs), agenda in general and to contribute to better maternal and neonatal health outcomes in particular. Researchers and policy makers have been calling for more equitable improvement in Maternal and Newborn Health (MNH), specifically addressing hard-to-reach populations at sub-national levels. Data visualization using mapping and geospatial analyses play a significant role in addressing the emerging need for improved spatial investigation at subnational scale. This correspondence identifies key challenges and recommendations so GIS may be better applied to maternal health programs in resource poor settings. The challenges and recommendations are broadly grouped into three categories: ancillary geospatial and MNH data sources, technical and human resources needs and community participation. BioMed Central 2017-01-11 /pmc/articles/PMC5225565/ /pubmed/28077095 http://dx.doi.org/10.1186/s12884-016-1199-y Text en © The Author(s). 2017 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 | Debate Molla, Yordanos B. Rawlins, Barbara Makanga, Prestige Tatenda Cunningham, Marc Ávila, Juan Eugenio Hernández Ruktanonchai, Corrine Warren Singh, Kavita Alford, Sylvia Thompson, Mira Dwivedi, Vikas Moran, Allisyn C. Matthews, Zoe Geographic information system for improving maternal and newborn health: recommendations for policy and programs |
title | Geographic information system for improving maternal and newborn health: recommendations for policy and programs |
title_full | Geographic information system for improving maternal and newborn health: recommendations for policy and programs |
title_fullStr | Geographic information system for improving maternal and newborn health: recommendations for policy and programs |
title_full_unstemmed | Geographic information system for improving maternal and newborn health: recommendations for policy and programs |
title_short | Geographic information system for improving maternal and newborn health: recommendations for policy and programs |
title_sort | geographic information system for improving maternal and newborn health: recommendations for policy and programs |
topic | Debate |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5225565/ https://www.ncbi.nlm.nih.gov/pubmed/28077095 http://dx.doi.org/10.1186/s12884-016-1199-y |
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