Prevalence of child undernutrition measures and their spatio-demographic inequalities in Bangladesh: an application of multilevel Bayesian modelling.

Das, Sumonkanti; Baffour, Bernard; Richardson, Alice

Das, Sumonkanti; Baffour, Bernard; Richardson, Alice.

Affiliation

Das S; School of Demography, Australian National University, Ellery Crescent, Canberra, 2601, ACT, Australia. sumonkanti.das@anu.edu.au.
Baffour B; School of Demography, Australian National University, Ellery Crescent, Canberra, 2601, ACT, Australia.
Richardson A; Statistical Support Network, Australian National University, Science Road, Canberra, 2601, ACT, Australia.

BMC Public Health ; 22(1): 1008, 2022 05 18.

Article in En | MEDLINE | ID: mdl-35585516

Subject(s)

Child Nutrition Disorders; Malnutrition; Bangladesh/epidemiology; Bayes Theorem; Child; Child Nutrition Disorders/epidemiology; Cross-Sectional Studies; Growth Disorders/epidemiology; Humans; Infant; Malnutrition/epidemiology; Prevalence; Thinness/epidemiology

Key words

Rural-urban disparities; Small area estimation; Spatial and cross-sectional correlations; Stunting; Underweight; Wasting

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Full text: 1 Collection: 01-internacional Database: MEDLINE Main subject: Child Nutrition Disorders / Malnutrition Type of study: Observational_studies / Prevalence_studies / Prognostic_studies / Risk_factors_studies Limits: Child / Humans / Infant Country/Region as subject: Asia Language: En Journal: BMC Public Health Journal subject: SAUDE PUBLICA Year: 2022 Type: Article Affiliation country: Australia

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