ArticleJournal of the Royal Society, Interface2015
Fine resolution mapping of population age-structures for health and development applications.
Article in Journal of the Royal Society, Interface, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 38 papers.
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
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Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
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Who cites it
38 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
- 100-m resolution Age-Stratified Population Estimation from the 2020 China Census by Township (ASPECT).Scientific data · 2025Article
- Spatial interpolation of health and demographic variables: Predicting malaria indicators with and without covariates.PloS one · 2025Article
- Modelling the spatial variability and uncertainty for under-vaccination and zero-dose children in fragile settings.Scientific reports · 2024Article
- Medical demography in Lebanon: Balancing demand and supply amidst crisis.Journal of global health · 2023Article
- A subnational reproductive, maternal, newborn, child, and adolescent health and development atlas of India.Scientific data · 2023Article
- Conditional probability and ratio-based approaches for mapping the coverage of multi-dose vaccines.Statistics in medicine · 2022Article
- Article
- Estimates of the number and distribution of zero-dose and under-immunised children across remote-rural, urban, and conflict-affected settings in low and middle-income countries.PLOS global public health · 2022Article
- Article
- Spatial data analysis of malnutrition among children under-five years in Ethiopia.BMC medical research methodology · 2021Article
- Using big data for evaluating development outcomes: A systematic map.Campbell systematic reviews · 2021Article
- Every Child on the Map: A Theory of Change Framework for Improving Childhood Immunization Coverage and Equity Using Geospatial Data and Technologies.Journal of medical Internet research · 2021Article
- District-level estimation of vaccination coverage: Discrete vs continuous spatial models.Statistics in medicine · 2021Article
- Managers' support on implementation of maternal guidelines, Limpopo province, South Africa.Curationis · 2020Article
- Mapping local patterns of childhood overweight and wasting in low- and middle-income countries between 2000 and 2017.Nature medicine · 2020Article
- A Scoping Review of Spatial Analysis Approaches Using Health Survey Data in Sub-Saharan Africa.International journal of environmental research and public health · 2020Article
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Corrections and comments
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Authors and funding
8 authors.
Funding
Abstract
The age-group composition of populations varies considerably across the world, and obtaining accurate, spatially detailed estimates of numbers of children under 5 years is important in designing vaccination strategies, educational planning or maternal healthcare delivery. Traditionally, such estimates are derived from population censuses, but these can often be unreliable, outdated and of coarse resolution for resource-poor settings. Focusing on Nigeria, we use nationally representative household surveys and their cluster locations to predict the proportion of the under-five population in 1 × 1 km using a Bayesian hierarchical spatio-temporal model. Results showed that land cover, travel time to major settlements, night-time lights and vegetation index were good predictors and that accounting for fine-scale variation, rather than assuming a uniform proportion of under 5 year olds can result in significant differences in health metrics. The largest gaps in estimated bednet and vaccination coverage were in Kano, Katsina and Jigawa. Geolocated household surveys are a valuable resource for providing detailed, contemporary and regularly updated population age-structure data in the absence of recent census data. By combining these with covariate layers, age-structure maps of unprecedented detail can be produced to guide the targeting of interventions in resource-poor settings.
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