Estimation of Child Undernutrition at Disaggregated Administrative Tiers of a North-Eastern District of Bangladesh: An Application of Small Area Estimation Method

Sumonkanti Das (), Bappi Kumar, Md. Zakir Hossain, Sabbir Tahmidur Rahman and Azizur Rahman
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Sumonkanti Das: Shahjalal University of Science & Technology, Department of Statistics
Bappi Kumar: Shahjalal University of Science & Technology, Department of Statistics
Md. Zakir Hossain: Shahjalal University of Science & Technology, Department of Statistics
Sabbir Tahmidur Rahman: Shahjalal University of Science & Technology, Department of Statistics
Azizur Rahman: Charles Stuart University, School of Computing and Mathematics

Chapter Chapter 20 in Statistics for Data Science and Policy Analysis, 2020, pp 267-281 from Springer

Abstract: Abstract Children of Sunamganj district located in the north-eastern part of Bangladesh are highly vulnerable to undernutrition and chronic food insecurity due to its geographic location, long-time waterlog, frequent flash floods, and underdeveloped infrastructure. In this study, child undernutrition indicators stunting and underweight are estimated at district, sub-district (Upzila) and union level administrative tiers of Sunamganj district employing the World Bank small area estimation (SAE) method to a Sunamganj household level survey data collected in 2018 and the census 2011 data of Sunamganj. District level prevalence of stunting and underweight are estimated as about 48.5% (95% CI: 45.3–51.7%) and 37.0% (95% CI: 34.6–39.8%) based on the SAE method. At upzila level, stunting varied from 41.0% to 54.9% and underweight varied from 24.0% to 53.4%; while the indicators varied over 19.5–59.7% and 20.2–56.8% respectively at union level. A significant number of unions are found as hotspots of higher underweight and stunting over the north, north-eastern and north-western parts of Sunamganj. Though the southern part of Sunamganj was homogeneous in the upzila level maps of stunting and underweight; significant number of heterogeneous unions are found in the union-level maps. The upzilas belong to the northern part particularly closer to the Indian border and haor areas are mostly vulnerable to stunting and underweight. The study findings on disaggregate level prevalence of stunting and underweight might help the concerned government and non-government organizations to prepare and implement aid-related programs on public health and nutrition.

Keywords: Stunting; Sunamganj District; Underweight; Upzila; Union; World Bank Method (search for similar items in EconPapers)
Date: 2020
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Persistent link: https://EconPapers.repec.org/RePEc:spr:sprchp:978-981-15-1735-8_20

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DOI: 10.1007/978-981-15-1735-8_20

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