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Disaggregate level estimates and spatial mapping of food insecurity in Bangladesh by linking survey and census data

Food insecurity is an important and persistent social issue in Bangladesh. Existing data based on socio-economic surveys produce divisional and nationally representative food insecurity estimates but these surveys cannot be used directly to generate reliable district level estimates. We deliberate s...

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Autores principales: Hossain, Md. Jamal, Das, Sumonkanti, Chandra, Hukum, Islam, Mohammad Amirul
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Public Library of Science 2020
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7147775/
https://www.ncbi.nlm.nih.gov/pubmed/32275683
http://dx.doi.org/10.1371/journal.pone.0230906
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author Hossain, Md. Jamal
Das, Sumonkanti
Chandra, Hukum
Islam, Mohammad Amirul
author_facet Hossain, Md. Jamal
Das, Sumonkanti
Chandra, Hukum
Islam, Mohammad Amirul
author_sort Hossain, Md. Jamal
collection PubMed
description Food insecurity is an important and persistent social issue in Bangladesh. Existing data based on socio-economic surveys produce divisional and nationally representative food insecurity estimates but these surveys cannot be used directly to generate reliable district level estimates. We deliberate small area estimation (SAE) approach for estimating the food insecurity status at district level in Bangladesh by combining Household Income and Expenditure Survey 2010 with the Bangladesh Population and Housing Census 2011. The food insecurity prevalence, gap and severity status have been determined based on per capita calorie intake with a threshold of 2122 kcal per day, as specified by the Bangladesh Bureau of Statistics.The results show that the food insecurity estimates generated from SAE are precise and representative of the spatial heterogeneity in the socioeconomic conditions than do the direct estimates. The maps showing the food insecurity indicators by district indicate that a number of districts in northern and southern parts are more vulnerable in terms of all indicators. These maps will guide the government, international organizations, policymakers and development partners for efficient resource allocation.
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spelling pubmed-71477752020-04-14 Disaggregate level estimates and spatial mapping of food insecurity in Bangladesh by linking survey and census data Hossain, Md. Jamal Das, Sumonkanti Chandra, Hukum Islam, Mohammad Amirul PLoS One Research Article Food insecurity is an important and persistent social issue in Bangladesh. Existing data based on socio-economic surveys produce divisional and nationally representative food insecurity estimates but these surveys cannot be used directly to generate reliable district level estimates. We deliberate small area estimation (SAE) approach for estimating the food insecurity status at district level in Bangladesh by combining Household Income and Expenditure Survey 2010 with the Bangladesh Population and Housing Census 2011. The food insecurity prevalence, gap and severity status have been determined based on per capita calorie intake with a threshold of 2122 kcal per day, as specified by the Bangladesh Bureau of Statistics.The results show that the food insecurity estimates generated from SAE are precise and representative of the spatial heterogeneity in the socioeconomic conditions than do the direct estimates. The maps showing the food insecurity indicators by district indicate that a number of districts in northern and southern parts are more vulnerable in terms of all indicators. These maps will guide the government, international organizations, policymakers and development partners for efficient resource allocation. Public Library of Science 2020-04-10 /pmc/articles/PMC7147775/ /pubmed/32275683 http://dx.doi.org/10.1371/journal.pone.0230906 Text en © 2020 Hossain et al http://creativecommons.org/licenses/by/4.0/ This is an open access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0/) , which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.
spellingShingle Research Article
Hossain, Md. Jamal
Das, Sumonkanti
Chandra, Hukum
Islam, Mohammad Amirul
Disaggregate level estimates and spatial mapping of food insecurity in Bangladesh by linking survey and census data
title Disaggregate level estimates and spatial mapping of food insecurity in Bangladesh by linking survey and census data
title_full Disaggregate level estimates and spatial mapping of food insecurity in Bangladesh by linking survey and census data
title_fullStr Disaggregate level estimates and spatial mapping of food insecurity in Bangladesh by linking survey and census data
title_full_unstemmed Disaggregate level estimates and spatial mapping of food insecurity in Bangladesh by linking survey and census data
title_short Disaggregate level estimates and spatial mapping of food insecurity in Bangladesh by linking survey and census data
title_sort disaggregate level estimates and spatial mapping of food insecurity in bangladesh by linking survey and census data
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7147775/
https://www.ncbi.nlm.nih.gov/pubmed/32275683
http://dx.doi.org/10.1371/journal.pone.0230906
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