ArticleProceedings of the National Academy of Sciences of the United States of America2018
Spatially disaggregated population estimates in the absence of national population and housing census data.
Article in Proceedings of the National Academy of Sciences of the United States of America, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 65 papers.
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Who cites it
65 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
- Responsible use of artificial intelligence and machine learning for food security early warning systems.Nature food · 2026Article
- Measuring human capital with social media data and machine learning.Scientific reports · 2026Article
- LandScan mosaic enables high-resolution gridded population estimates with explicit uncertainty.Scientific reports · 2025Article
- Assessment of a gridded population sample frame for a household survey of refugee populations in Uganda, 2021.International journal of health geographics · 2025Article
- Long-range PMNature · 2025Article
- Estimating small area population from health intervention campaign surveys and partially observed settlement data.Nature communications · 2025Article
- Using human mobility data to quantify experienced urban inequalities.Nature human behaviour · 2025Review
- Process and Methodological Considerations for Observational Analyses of Vector Control Interventions in Sub-Saharan Africa Using Routine Malaria Data.The American journal of tropical medicine and hygiene · 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
- A move in the right direction: Tracking the traceability of British Thoroughbreds outside of racing.PloS one · 2025Article
- Global gridded multi-temporal datasets to support human population distribution modelling.Gates open research · 2025Article
- Population-based cross-sectional seroprevalence study of SARS-CoV-2 infection in urban residential areas in Ghana.BMJ public health · 2025Article
- Inter-district and Wealth-related Inequalities in Maternal and Child Health Service Coverage and Child Mortality within Addis Ababa City.Journal of urban health : bulletin of the New York Academy of Medicine · 2024Article
- Delivering insecticide-treated nets (ITNs) through a digitized single-phase door-to-door strategy: lessons from Ondo state, Nigeria.Malaria journal · 2024Article
- Evaluating Geospatial Sampling Frames with a Novel Field Census for a Malaria Household Survey in Artibonite, Haiti.The American journal of tropical medicine and hygiene · 2024Article
- A simulated 'sandbox' for exploring the modifiable areal unit problem in aggregation and disaggregation.Scientific data · 2024Article
- High-resolution gridded population datasets for Latin America and the Caribbean using official statistics.Scientific data · 2023Article
- How do urban socio-economic characteristics shape a city's social recovery? An empirical study of COVID-19 shocks in China.International journal of disaster risk reduction : IJDRR · 2023Article
- Effectiveness of community case management of malaria on severe malaria and inpatient malaria deaths in Zambia: a dose-response study using routine health information system data.Malaria journal · 2023Observational
5 more citing papers are in PubMed but not listed here.
Corrections and comments
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Authors and funding
10 authors.
Funding
Abstract
Population numbers at local levels are fundamental data for many applications, including the delivery and planning of services, election preparation, and response to disasters. In resource-poor settings, recent and reliable demographic data at subnational scales can often be lacking. National population and housing census data can be outdated, inaccurate, or missing key groups or areas, while registry data are generally lacking or incomplete. Moreover, at local scales accurate boundary data are often limited, and high rates of migration and urban growth make existing data quickly outdated. Here we review past and ongoing work aimed at producing spatially disaggregated local-scale population estimates, and discuss how new technologies are now enabling robust and cost-effective solutions. Recent advances in the availability of detailed satellite imagery, geopositioning tools for field surveys, statistical methods, and computational power are enabling the development and application of approaches that can estimate population distributions at fine spatial scales across entire countries in the absence of census data. We outline the potential of such approaches as well as their limitations, emphasizing the political and operational hurdles for acceptance and sustainable implementation of new approaches, and the continued importance of traditional sources of national statistical data.
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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.