SynthesisJournal of global health2022
How applicable is geospatial analysis in maternal and neonatal health in sub-Saharan Africa? A systematic review.
Synthesis in Journal of global health, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.
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Who cites it
9 citing papers in PubMed.
- Application of geospatial analysis for mapping the distribution of severe maternal morbidities in eastern Ethiopia: The case of the Ethiopian obstetric surveillance system.International journal of gynaecology and obstetrics: the official organ of the International Federation of Gynaecology and Obstetrics · 2026Article
- Geospatial analysis in addressing surgical care inequities: A scoping review and methodological guide.PLOS digital health · 2026Article
- Nexus between sociocultural practices and maternal mortality in Pakistan: a geospatial analysis using Spatial Durbin model and multiscale geographically weighted regression.BMC public health · 2026Article
- Spatio-temporal patterns of health service delivery and access to maternal, child, and outpatient healthcare in Volta region, Ghana: a repeated cross-sectional ecological study using health facility data.Global health action · 2025Article
- Maternal and perinatal mortality: geospatial analysis of inequality in pregnancy related and perinatal mortality in Ethiopia.Health policy and planning · 2025Article
- Analysing space-time patterns of maternal mortality attributed to anaemia in Karnataka, India: a spatial epidemiological study.BMJ public health · 2024Article
- Spatiotemporal patterns and factors contributing to neonatal mortality in Ethiopia: Data from EDHS 2000 to 2019.PloS one · 2024Article
- Impacts of seasonal flooding on geographical access to maternal healthcare in the Barotse Floodplain, Zambia.International journal of health geographics · 2023Article
- Exploring spatiotemporal trends and impacts of health resources and services on under-5 mortality in West African countries, 2010-2019: a spatial data analysis.Frontiers in public health · 2023Article
Corrections and comments
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Authors and funding
7 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
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.
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