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 paperConference paperpeer-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
ISBN (Electronic)9789811517358
ISBN (Print)9789811517341
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
CountryAustralia
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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