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How applicable is geospatial analysis in maternal and neonatal health in sub-Saharan Africa? A systematic review
BACKGROUND: Sub-Saharan Africa (SSA) has the world's highest maternal and neonatal morbidity and mortality and has shown the slowest progress in reducing them. In addition, there is substantial inequality in terms of maternal and neonatal morbidity and mortality in the region. Geospatial studie...
Autores principales: | , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
International Society of Global Health
2022
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9359463/ https://www.ncbi.nlm.nih.gov/pubmed/35939400 http://dx.doi.org/10.7189/jogh.12.04066 |
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author | Alemu, Sisay Mulugeta Tura, Abera Kenay do Amaral, Gabriel S Gurgel Moughalian, Catherine Weitkamp, Gerd Stekelenburg, Jelle Biesma, Regien |
author_facet | Alemu, Sisay Mulugeta Tura, Abera Kenay do Amaral, Gabriel S Gurgel Moughalian, Catherine Weitkamp, Gerd Stekelenburg, Jelle Biesma, Regien |
author_sort | Alemu, Sisay Mulugeta |
collection | PubMed |
description | BACKGROUND: Sub-Saharan Africa (SSA) has the world's highest maternal and neonatal morbidity and mortality and has shown the slowest progress in reducing them. In addition, there is substantial inequality in terms of maternal and neonatal morbidity and mortality in the region. Geospatial studies can help prioritize scarce resources by pinpointing priority areas for implementation. This systematic review was conducted to explore the application of geospatial analysis to maternal and neonatal morbidity and mortality in SSA. METHODS: A systematic search of PubMed, SCOPUS, EMBASE, and Web of Science databases was performed. All observational and qualitative studies that reported on maternal or neonatal health outcomes were included if they used a spatial analysis technique and were conducted in a SSA country. After removing duplicates, two reviewers independently reviewed each study's abstract and full text for inclusion. Furthermore, the quality of the studies was assessed using the Joanna Briggs Institute (JBI) critical appraisal checklists. Finally, due to the heterogeneity of studies, narrative synthesis was used to summarize the main findings, and Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) guideline was strictly followed to report the review results. A total of 56 studies were included in the review. RESULTS: We found that geospatial analysis was used to identify inequalities in maternal and neonatal morbidity, mortality, and health care utilization and to identify gaps in the availability and geographic accessibility of maternal health facilities. In addition, we identified a few studies that used geospatial analysis for modelling intervention areas. We also detected challenges and shortcomings, such as unrealistic assumptions used by geospatial models and a shortage of reliable, up-to-date, small-scale georeferenced data. CONCLUSIONS: The use of geospatial analysis for maternal and neonatal health in SSA is still limited, and more detailed spatial data are required to exploit the potential of geospatial technologies fully. |
format | Online Article Text |
id | pubmed-9359463 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | International Society of Global Health |
record_format | MEDLINE/PubMed |
spelling | pubmed-93594632022-08-25 How applicable is geospatial analysis in maternal and neonatal health in sub-Saharan Africa? A systematic review Alemu, Sisay Mulugeta Tura, Abera Kenay do Amaral, Gabriel S Gurgel Moughalian, Catherine Weitkamp, Gerd Stekelenburg, Jelle Biesma, Regien J Glob Health Articles BACKGROUND: Sub-Saharan Africa (SSA) has the world's highest maternal and neonatal morbidity and mortality and has shown the slowest progress in reducing them. In addition, there is substantial inequality in terms of maternal and neonatal morbidity and mortality in the region. Geospatial studies can help prioritize scarce resources by pinpointing priority areas for implementation. This systematic review was conducted to explore the application of geospatial analysis to maternal and neonatal morbidity and mortality in SSA. METHODS: A systematic search of PubMed, SCOPUS, EMBASE, and Web of Science databases was performed. All observational and qualitative studies that reported on maternal or neonatal health outcomes were included if they used a spatial analysis technique and were conducted in a SSA country. After removing duplicates, two reviewers independently reviewed each study's abstract and full text for inclusion. Furthermore, the quality of the studies was assessed using the Joanna Briggs Institute (JBI) critical appraisal checklists. Finally, due to the heterogeneity of studies, narrative synthesis was used to summarize the main findings, and Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) guideline was strictly followed to report the review results. A total of 56 studies were included in the review. RESULTS: We found that geospatial analysis was used to identify inequalities in maternal and neonatal morbidity, mortality, and health care utilization and to identify gaps in the availability and geographic accessibility of maternal health facilities. In addition, we identified a few studies that used geospatial analysis for modelling intervention areas. We also detected challenges and shortcomings, such as unrealistic assumptions used by geospatial models and a shortage of reliable, up-to-date, small-scale georeferenced data. CONCLUSIONS: The use of geospatial analysis for maternal and neonatal health in SSA is still limited, and more detailed spatial data are required to exploit the potential of geospatial technologies fully. International Society of Global Health 2022-08-09 /pmc/articles/PMC9359463/ /pubmed/35939400 http://dx.doi.org/10.7189/jogh.12.04066 Text en Copyright © 2022 by the Journal of Global Health. All rights reserved. https://creativecommons.org/licenses/by/4.0/This work is licensed under a Creative Commons Attribution 4.0 International License. |
spellingShingle | Articles Alemu, Sisay Mulugeta Tura, Abera Kenay do Amaral, Gabriel S Gurgel Moughalian, Catherine Weitkamp, Gerd Stekelenburg, Jelle Biesma, Regien How applicable is geospatial analysis in maternal and neonatal health in sub-Saharan Africa? A systematic review |
title | How applicable is geospatial analysis in maternal and neonatal health in sub-Saharan Africa? A systematic review |
title_full | How applicable is geospatial analysis in maternal and neonatal health in sub-Saharan Africa? A systematic review |
title_fullStr | How applicable is geospatial analysis in maternal and neonatal health in sub-Saharan Africa? A systematic review |
title_full_unstemmed | How applicable is geospatial analysis in maternal and neonatal health in sub-Saharan Africa? A systematic review |
title_short | How applicable is geospatial analysis in maternal and neonatal health in sub-Saharan Africa? A systematic review |
title_sort | how applicable is geospatial analysis in maternal and neonatal health in sub-saharan africa? a systematic review |
topic | Articles |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9359463/ https://www.ncbi.nlm.nih.gov/pubmed/35939400 http://dx.doi.org/10.7189/jogh.12.04066 |
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