ArticleCommunications medicine2022
Differences between gridded population data impact measures of geographic access to healthcare in sub-Saharan Africa.
Article in Communications medicine, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 23 papers.
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Who cites it
23 citing papers in PubMed.
- Quantifying the impact of health service delivery barriers on access to healthcare: a case study of antiretroviral therapy in Mali.BMJ global health · 2026Article
- Impact of extreme precipitation events on facility-based births in 21 sub-Saharan African countries.Nature communications · 2026Article
- Urban-Rural Disparities in Geographic Healthcare Accessibility: A Comparative Study of Nigeria and Zambia.Journal of urban health : bulletin of the New York Academy of Medicine · 2026Article
- Evaluating the effects of the free healthcare policy on clinical visits and malaria among children in Burkina Faso: a modeling study of past trends and future forecasts.Global health research and policy · 2025Article
- Climate change and its impact on spatial and temporal distribution of visceral leishmaniasis transmission risk in Nepal.BMC infectious diseases · 2025Article
- Modeling Geographical Accessibility and Inequalities to Childbirth Services in the Grand Nokoué Metropolitan Area, Benin.Journal of urban health : bulletin of the New York Academy of Medicine · 2025Article
- A global map of travel time to access veterinarians.Nature communications · 2025Article
- Mapping and quantifying travel time to define health facility catchment areas in Blantyre city in Malawi.Communications medicine · 2025Article
- Forest citizens and people-centered conservation in the Brazilian Amazon.Conservation biology : the journal of the Society for Conservation Biology · 2025Article
- Analysis of travel-time to HIV treatment in sub-Saharan Africa reveals inequities in access to antiretrovirals.Communications medicine · 2025Article
- Extreme geographic misalignment of healthcare resources and HIV treatment deserts in Malawi.Nature medicine · 2025Article
- Article
- A scoping review of the methods used to estimate health facility catchment populations for child health indicators in sub-Saharan Africa.Population health metrics · 2025Article
- Global gridded population datasets systematically underrepresent rural population.Nature communications · 2025Article
- Differences in walking access to healthcare facilities between formal and informal areas in 19 sub-Saharan African cities.Communications medicine · 2025Article
- Travel time to cataract surgical services in Kenya, Malawi and Rwanda: demonstrating a standardised indicator of physical access to cataract surgery.Eye (London, England) · 2024Article
- Socio-spatial equity analysis of relative wealth index and emergency obstetric care accessibility in urban Nigeria.Communications medicine · 2024Article
- Optimization of the emergency obstetric and neonatal care network in Benin through expert-based sub-national prioritizations.Frontiers in global women's health · 2024Article
- Revealed versus potential spatial accessibility of healthcare and changing patterns during the COVID-19 pandemic.Communications medicine · 2023Article
- Estimating geographic access to healthcare facilities in Sub-Saharan Africa by Degree of Urbanisation.Applied geography (Sevenoaks, England) · 2023Article
Corrections and comments
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Authors and funding
11 authors.
Funding
Abstract
Background: Access to healthcare is imperative to health equity and well-being. Geographic access to healthcare can be modeled using spatial datasets on local context, together with the distribution of existing health facilities and populations. Several population datasets are currently available, but their impact on accessibility analyses is unknown. In this study, we model the geographic accessibility of public health facilities at 100-meter resolution in sub-Saharan Africa and evaluate six of the most popular gridded population datasets for their impact on coverage statistics at different administrative levels. Methods: Travel time to nearest health facilities was calculated by overlaying health facility coordinates on top of a friction raster accounting for roads, landcover, and physical barriers. We then intersected six different gridded population datasets with our travel time estimates to determine accessibility coverages within various travel time thresholds (i.e., 30, 60, 90, 120, 150, and 180-min). Results: Here we show that differences in accessibility coverage can exceed 70% at the sub-national level, based on a one-hour travel time threshold. The differences are most notable in large and sparsely populated administrative units and dramatically shape patterns of healthcare accessibility at national and sub-national levels. Conclusions: The results of this study show how valuable and critical a comparative analysis between population datasets is for the derivation of coverage statistics that inform local policies and monitor global targets. Large differences exist between the datasets and the results underscore an essential source of uncertainty in accessibility analyses that should be systematically assessed.
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