Abstract
Children of Sunamganj district 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 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 language | English |
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Title of host publication | Statistics for data science and policy analysis |
Editors | Azizur Rahman |
Place of Publication | Singapore |
Publisher | Springer |
Chapter | 20 |
Pages | 267-281 |
Number of pages | 15 |
ISBN (Electronic) | 9789811517358 |
ISBN (Print) | 9789811517341 |
DOIs | |
Publication status | Published - 2020 |
Event | The 2nd Applied Statistics and Policy Analysis Conference: ASPAC2019 - Charles Sturt University, Wagga Wagga, Australia Duration: 05 Sept 2019 → 06 Sept 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
Conference | The 2nd Applied Statistics and Policy Analysis Conference |
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Abbreviated title | Effective policy through the use of big data, accurate estimates and modern computing tools and statistical modelling |
Country/Territory | Australia |
City | Wagga Wagga |
Period | 05/09/19 → 06/09/19 |
Other | Proceedings due for publication May 2020 https://www.springer.com/gp/book/9789811517341 |
Internet address |
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Statistics is an essence for data science and policy analysis
Rahman, A. (Creator)
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