Defining conurbation (extended urban area) boundaries for maternal healthcare applications in sub-Saharan Africa

Background: While urban areas in sub-Saharan Africa (SSA) have historically enjoyed a wide range of advantages in maternal health (urban health advantage), this advantage is diminishing or reversing. Concurrently, SSA is currently witnessing the fastest urbanisation rates in the world. Therefore, there is need for an improved understanding of maternal healthcare utilization in conurbations (an extended urban area, consisting of several towns merging with the suburbs of a central city) that captures the lived experiences of women. However, current definitions of conurbation boundaries vary between countries and international entities and may not fully reflect the reality of women seeking healthcare. Here, we define boundaries of 23 conurbations in 22 different countries across SSA by incorporating the lived experiences of women. Further, we compare the coverage of three maternal health indicators based on the existing and enhanced conurbation boundary. Methods: To define the boundaries of conurbation we assembled secondary data on local administrative and health boundaries, data from city-specific sources and satellite based data from 5 different sources. We spatially overlaid these sources to create a preliminary conurbation boundary. To reflect the lived reality for maternal health, we then adjusted the resulting boundary following feedback from researchers and/or health professionals with expert or lived-experience knowledge of each conurbation. We then computed and compared the coverage of three maternal and child health indicators based on 3 original definitions of conurbation boundary (health boundary, satellite-based boundary, and the enhanced boundary). We used the most recent demographic and health survey (DHS) and accounted for its complex, multilevel cluster survey design. Results: Preliminary results show that there were 5 sources of global and regional satellite based sources of data that were then used to define a conurbation. However, these sources provided varying spatial extents of conurbations. The coverage of the maternal and child health indicators were variable across the different definitions of conurbations. The coverage based on the modified boundary reflected more realistically the lived experience of women when seeking healthcare. Conclusions: The results shed light on the impact of conurbation definitions on maternal and child health indicators and on the role of urbanisation in the evolving landscape of maternal healthcare in SSA.

Institutions

Publication Details

Journal
Zenodo (CERN European Organization for Nuclear Research)
Published
2025-10-09
DOI
https://doi.org/10.5281/zenodo.17306029
Primary Topic
Mollusks and Parasites Studies
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Defining conurbation (extended urban area) boundaries for maternal healthcare applications in sub-Saharan Africa

Zenodo (CERN European Organization for Nuclear Research)
Mollusks and Parasites Studies
article

Defining conurbation (extended urban area) boundaries for maternal healthcare applications in sub-Saharan Africa

article en

Abstract

Background: While urban areas in sub-Saharan Africa (SSA) have historically enjoyed a wide range of advantages in maternal health (urban health advantage), this advantage is diminishing or reversing. Concurrently, SSA is currently witnessing the fastest urbanisation rates in the world. Therefore, there is need for an improved understanding of maternal healthcare utilization in conurbations (an extended urban area, consisting of several towns merging with the suburbs of a central city) that captures the lived experiences of women. However, current definitions of conurbation boundaries vary between countries and international entities and may not fully reflect the reality of women seeking healthcare. Here, we define boundaries of 23 conurbations in 22 different countries across SSA by incorporating the lived experiences of women. Further, we compare the coverage of three maternal health indicators based on the existing and enhanced conurbation boundary. Methods: To define the boundaries of conurbation we assembled secondary data on local administrative and health boundaries, data from city-specific sources and satellite based data from 5 different sources. We spatially overlaid these sources to create a preliminary conurbation boundary. To reflect the lived reality for maternal health, we then adjusted the resulting boundary following feedback from researchers and/or health professionals with expert or lived-experience knowledge of each conurbation. We then computed and compared the coverage of three maternal and child health indicators based on 3 original definitions of conurbation boundary (health boundary, satellite-based boundary, and the enhanced boundary). We used the most recent demographic and health survey (DHS) and accounted for its complex, multilevel cluster survey design. Results: Preliminary results show that there were 5 sources of global and regional satellite based sources of data that were then used to define a conurbation. However, these sources provided varying spatial extents of conurbations. The coverage of the maternal and child health indicators were variable across the different definitions of conurbations. The coverage based on the modified boundary reflected more realistically the lived experience of women when seeking healthcare. Conclusions: The results shed light on the impact of conurbation definitions on maternal and child health indicators and on the role of urbanisation in the evolving landscape of maternal healthcare in SSA.

Zenodo (CERN European Organization for Nuclear Research)
University of Antwerp (BE), Kenya Medical Research Institute (KE), Gamal Abdel Nasser University of Conakry (GN), Africa Centres for Disease Control and Prevention (ET), Instituut voor Tropische Geneeskunde (BE), Wellcome Trust (GB)
Sustainable cities and communities
Openalex Percentile: Top 40%
Mollusks and Parasites Studies
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.