ArticleVaccine2021
Modeling and presentation of vaccination coverage estimates using data from household surveys.
Article in Vaccine, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers.
What it found
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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.
The trial behind it
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.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
13 citing papers in PubMed.
- Using Immunization Data Systems to Track Zero-Dose Children in Bangladesh: Mixed Methods Exploratory Study.Online journal of public health informatics · 2026Article
- Article
- Assessing Geographic Inequalities in Childhood Immunisation Coverage: A Critical Scoping Review of Spatial Analysis Methods.Vaccines · 2026Article
- Small Area Estimation of Education Levels in Low- and Middle-Income Countries.The annals of applied statistics · 2026Article
- Toward a Principled Workflow for Prevalence Mapping Using Household Survey Data.Journal of survey statistics and methodology · 2026Article
- Smoothed model-assisted small area estimation of proportions.The Canadian journal of statistics = Revue canadienne de statistique · 2024Article
- Mapping the prevalence of cancer risk factors at the small area level in Australia.International journal of health geographics · 2023Article
- Article
- Conditional probability and ratio-based approaches for mapping the coverage of multi-dose vaccines.Statistics in medicine · 2022Article
- SPACE-TIME SMOOTHING MODELS FOR SUBNATIONAL MEASLES ROUTINE IMMUNIZATION COVERAGE ESTIMATION WITH COMPLEX SURVEY DATA.The annals of applied statistics · 2021Article
- Model building and assessment of the impact of covariates for disease prevalence mapping in low-resource settings: to explain and to predict.Journal of the Royal Society, Interface · 2021Article
- District-level estimation of vaccination coverage: Discrete vs continuous spatial models.Statistics in medicine · 2021Article
- Space-time smoothing of mortality estimates in children aged 5-14 in Sub-Saharan Africa.PloS one · 2021Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
2 authors.
Funding
Abstract
It is becoming increasingly popular to produce high-resolution maps of vaccination coverage by fitting Bayesian geostatistical models to data from household surveys. Usually, the surveys adopt a stratified cluster sampling design. We discuss a number of crucial choices with respect to two key aspects of the map production process: the acknowledgement of the survey design in modeling, and the appropriate presentation of estimates and their uncertainties. Specifically, we consider the importance of accounting for urban/rural stratification and cluster-level non-spatial excess variation in survey outcomes, when fitting geostatistical models. We also discuss the trade-off between the geographical scale and precision of model-based estimates, and demonstrate visualization methods for mapping and ranking that emphasize the probabilistic interpretation of results. A novel approach to coverage map presentation is proposed to allow comparison and control of the overall map uncertainty. We use measles vaccination coverage in Nigeria as a motivating example and illustrate the different issues using data from the 2018 Nigeria Demographic and Health Survey.
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Registered trials
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.