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Prevalence of child undernutrition measures and their spatio-demographic inequalities in Bangladesh: an application of multilevel Bayesian modelling | BMC Public Health

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 est ....

Sustainable Development Goal , Indicator Cluster Survey , Multiple Indicator Cluster Survey , Bangladesh Population ,

Assessment of the national and subnational completeness of death registration in Nepal | BMC Public Health

Reliable and timely mortality data from a civil registration and vital statistics (CRVS) system are of crucial importance for generating evidence for policy and monitoring the progress towards national and global development goals. In Nepal, however, the death registration system is not used to produce mortality statistics, because it does not providing data on age at death and only reporting deaths by year of registration. This study assesses the completeness of death registration in Nepal – both the existing offline system and the newer online system – as well as the completeness of death reporting from a CRVS Survey, and assesses differences by year, sex, ecological belt, and province. The empirical completeness method is used to estimate completeness at all ages from the offline (paper-based) registration system (2013-17), the online registration system (2017-19) and the CRVS Survey (2014-15). Completeness of the offline death registration system was 6 ....

Ministry Of Health , World Health Organization , Demographic Health Survey , Department Of National , Ministry Of Home Affairs , Central Bureau Of Statistics , Indicator Cluster Survey , Health Management Information System , Central Bureau , Global Burden , United Nations World Population Prospects , Population Census , Multiple Indicator Cluster Survey , Civil Registration , Local Registrar , Civil Registrar , Home Affairs , International Form , Medical Certificate , Post Earthquake Survey ,