ArticleNature communications2022
High-resolution population estimation using household survey data and building footprints.
Article in Nature communications, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 21 papers.
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Who cites it
21 citing papers in PubMed.
- Advances in small area population estimation in the absence of national census data.Proceedings of the National Academy of Sciences of the United States of America · 2026Review
- Assessing the influence of building data choice on wildland-urban interface delineation in mainland Portugal.Scientific reports · 2026Article
- High Spatial Resolution Building Characteristics for the Global South: Insights from the Google Open Buildings Temporal Dataset (2016-2023).Gates open research · 2026Article
- A temporally harmonised gridded building-stock dataset for the Global South, 2016-2023.Gates open research · 2026Article
- LandScan mosaic enables high-resolution gridded population estimates with explicit uncertainty.Scientific reports · 2025Article
- Mapping subnational gender gaps in internet and mobile adoption using social media data.Proceedings of the National Academy of Sciences of the United States of America · 2025Article
- Semi-automated multi-criteria filtering of building footprints for enhanced Wildland-Urban Interface mapping in mainland Portugal.Data in brief · 2025Article
- Estimating small area population from health intervention campaign surveys and partially observed settlement data.Nature communications · 2025Article
- Global gridded population datasets systematically underrepresent rural population.Nature communications · 2025Article
- Mapping fine-scale socioeconomic inequality using machine learning and remotely sensed data.PNAS nexus · 2025Article
- Tackling public health data gaps through Bayesian high-resolution population estimation: A case study of Kasaï-Oriental, Democratic Republic of the Congo.PLOS global public health · 2025Article
- Global gridded multi-temporal datasets to support human population distribution modelling.Gates open research · 2025Article
- Learning from over ten years of implementing the One Health approach in the Democratic Republic of Congo: A qualitative study.One health (Amsterdam, Netherlands) · 2024Article
- An OpenStreetMap derived building classification dataset for the United States.Scientific data · 2024Article
- The role of connectivity on malaria dynamics across areas with contrasting control coverage in the Peruvian Amazon.PLoS neglected tropical diseases · 2024Article
- A spatio-temporal analysis investigating completeness and inequalities of global urban building data in OpenStreetMap.Nature communications · 2023Article
- Article
- High-resolution estimates of social distancing feasibility, mapped for urban areas in sub-Saharan Africa.Scientific data · 2022Article
- Developing High-Resolution Population and Settlement Data for Impactful Malaria Interventions in Zambia.Journal of environmental and public health · 2022Article
- Differences between gridded population data impact measures of geographic access to healthcare in sub-Saharan Africa.Communications medicine · 2022Article
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Authors and funding
14 authors.
Funding
Abstract
The national census is an essential data source to support decision-making in many areas of public interest. However, this data may become outdated during the intercensal period, which can stretch up to several decades. In this study, we develop a Bayesian hierarchical model leveraging recent household surveys and building footprints to produce up-to-date population estimates. We estimate population totals and age and sex breakdowns with associated uncertainty measures within grid cells of approximately 100 m in five provinces of the Democratic Republic of the Congo, a country where the last census was completed in 1984. The model exhibits a very good fit, with an R
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