Bangladesh Agricultural University, Mymensingh, Bangladesh.
University of Southampton, Southampton, United Kingdom.
PLoS One. 2020 Apr 10;15(4):e0230906. doi: 10.1371/journal.pone.0230906. eCollection 2020.
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.
在孟加拉国，粮食不安全是一个重要且长期存在的社会问题。基于社会经济调查的数据可以得出分区和全国代表性的粮食不安全估计，但这些调查不能直接用于生成可靠的地区估计。我们考虑了通过将 2010 年家庭收入和支出调查与 2011 年孟加拉国人口和住房普查相结合，来对孟加拉国的地区粮食不安全状况进行小区域估计（SAE）的方法。根据孟加拉国统计局规定的每天 2122 卡路里的人均卡路里摄入量标准，确定了粮食不安全的流行率、差距和严重程度状况。结果表明，与直接估计相比，SAE 生成的粮食不安全估计更精确，更能代表社会经济条件的空间异质性。按地区显示粮食不安全指标的地图表明，北部和南部的一些地区在所有指标方面都更加脆弱。这些地图将为政府、国际组织、政策制定者和发展伙伴提供指导，以实现资源的有效分配。
