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, Azizur Rahman

Research output: Book chapter/Published conference paperChapter (peer-reviewed)peer-review

Abstract

Children of Sunamganj district are highly vulnerable to undernutrition and chron-ic food insecurity due to its geographic location, long-time waterlog, frequent flash floods, and underdeveloped infrastructure. In this study, child undernutri-tion 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 dis-aggregate 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.
Original languageEnglish
Title of host publicationStatistics for Data Science and Policy Analysis
EditorsAzizur Rahman
Place of PublicationSingapore
PublisherSpringer
Chapter20
Pages267-281
Number of pages15
ISBN (Electronic)9789811517358
ISBN (Print)9789811517341
DOIs
Publication statusPublished - 2020
EventThe 2nd Applied Statistics and Policy Analysis Conference: ASPAC2019 - Charles Sturt University, Wagga Wagga, Australia
Duration: 05 Sep 201906 Sep 2019
http://csusap.csu.edu.au/~azrahman/ASPAC2019/
http://csusap.csu.edu.au/~azrahman/ASPAC2019/Program%20draft.pdf?attredirects=0&d=1 (program)
http://csusap.csu.edu.au/~azrahman/ASPAC2019/ASPAC2019_Refereed_Book%20of%20Abstracts.pdf?attredirects=0&d=1 (book of abstracts)
https://ebookcentral.proquest.com/lib/CSUAU/detail.action?docID=6152166 (proceedings)

Conference

ConferenceThe 2nd Applied Statistics and Policy Analysis Conference
Abbreviated titleEffective policy through the use of big data, accurate estimates and modern computing tools and statistical modelling
Country/TerritoryAustralia
CityWagga Wagga
Period05/09/1906/09/19
OtherProceedings due for publication May 2020 https://www.springer.com/gp/book/9789811517341
Internet address

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