ArticleBMC public health2022
Prevalence of child undernutrition measures and their spatio-demographic inequalities in Bangladesh: an application of multilevel Bayesian modelling.
Article in BMC public health, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 19 papers.
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Who cites it
19 citing papers in PubMed.
- Population Pharmacokinetic and Pharmacodynamic Prediction for Tebipenem Pivoxil Treatment of Pediatric Shigellosis.Clinical and translational science · 2026Trial
- Spatial distribution and predictors of stunting, wasting, and underweight among under-five children in Bangladesh.BMC public health · 2026Article
- Prevalence and determinants of child malnutrition in Bangladesh: a comparative analysis of multilevel modeling.BMC pediatrics · 2026Article
- Prevalence of Childhood Stunting and Its Associated Factors in Bangladesh: Quantile Regression Modeling Approach.Journal of nutrition and metabolism · 2026Article
- Disaggregated level child morbidity in Zambia: an application of small area estimation method.Population health metrics · 2025Article
- Prevalence and Determinants of the Composite Index of Anthropometric Failure in Children Under Five Years in Bangladesh: Insights From a National Survey.Food science & nutrition · 2025Article
- Exploring under-five child malnutrition in Bangladesh: analysis using the Extended Composite Index of Anthropometric Failure (ECIAF).Public health nutrition · 2025Article
- A deep learning approach for classifying and predicting children's nutritional status in Ethiopia using LSTM-FC neural networks.BioData mining · 2025Article
- MyKid'sNutrition mobile application: effect on mothers' nutritional knowledge and nutritional status of preschool-aged children with undernutrition - a randomised controlled trial.BMJ nutrition, prevention & health · 2025Article
- Trends in social determinants of inequality in child undernutrition from the Ethiopian Demographic and Health Surveys, 2005-2016.PloS one · 2024Article
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- Article
- Geostatistical modelling of child undernutrition in developing countries using remote-sensed data: evidence from Bangladesh and Ghana demographic and health surveys.Scientific reports · 2023Article
- Geospatial Overlap of Undernutrition and Tuberculosis in Ethiopia.International journal of environmental research and public health · 2023Article
- Promoting health and preventing malnutrition among children in rural Bangladesh: A qualitative study.Nursing open · 2023Article
- Article
- Determinants and Projections of Minimum Acceptable Diet among Children Aged 6-23 Months: A National and Subnational Inequality Assessment in Bangladesh.International journal of environmental research and public health · 2023Article
- Validation of a small-area model for estimation of smoking prevalence at a subnational level.Tobacco induced diseases · 2023Article
- Common factors influencing childhood undernutrition and their comparison between Sylhet, the most vulnerable region, and other parts of Bangladesh: Evidence from BDHS 2007-18 rounds.Frontiers in nutrition · 2022Article
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Abstract
Micro-level statistics on child undernutrition are highly prioritized by stakeholders for measuring and monitoring progress on the sustainable development goals. In this regard district-representative data were collected in the Bangladesh Multiple Indicator Cluster Survey 2019 for identifying localised disparities. However, district-level estimates of undernutrition indicators - stunting, wasting and underweight - remain largely unexplored. This study aims to estimate district-level prevalence of these indicators as well as to explore their disparities at sub-national (division) and district level spatio-demographic domains cross-classified by children sex, age-groups, and place of residence. Bayesian multilevel models are developed at the sex-age-residence-district level, accounting for cross-sectional, spatial and spatio-demographic variations. The detailed domain-level predictions are aggregated to higher aggregation levels, which results in numerically consistent and reasonable estimates when compared to the design-based direct estimates. Spatio-demographic distributions of undernutrition indicators indicate south-western districts have lower vulnerability to undernutrition than north-eastern districts, and indicate significant inequalities within and between administrative hierarchies, attributable to child age and place of residence. These disparities in undernutrition at both aggregated and disaggregated spatio-demographic domains can aid policymakers in the social inclusion of the most vulnerable to meet the sustainable development goals by 2030.
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