A longitudinal survey on changes in employment and food consumption during the COVID-19 pandemic in rural Bihar, India

Travasso, Sandra M.; Joseph, Smitha; Swaminathan, Sumathi; Manivannan, Jawahar R.; Webb, Patrick; Kurpad, Anura V; Thomas, Tinku

doi:10.1016/j.tjnut.2023.07.006

Cited by 1 publication

(1 citation statement)

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“…The modes and strengths of the influence of each shock differ. According to Travasso et al (2023), all over the world, the 2008 crisis drove 97 million more people compared to the pre-crisis year 2007 into hunger. COVID-19 was more severe, driving 112.6 million more into hunger.…”

Section: Introductionmentioning

confidence: 99%

Predicting Food Consumption to Reduce the Risk of Food Insecurity in Kazakhstan

Duisenbekova,

Kulisz,

Danilowska

et al. 2023

Economies

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In modern times, the risk of food insecurity is a concern for policymakers at the global and national levels, as the issue of hunger and malnutrition still exists. Food security is vulnerable to any crises. The main goal of this paper is to create a neural-network-based predictive model to forecast food consumption trends in Kazakhstan, aiming to reduce the risk of food insecurity. The initial phase of this study involved identifying socioeconomic factors that significantly influence food consumption behaviors in Kazakhstan. Principal component analysis was used to identify key variables, which became the basis for modelling artificial neural networks. It was revealed that the poverty rate, GDP per capita, and food price index are pivotal determinants of food consumption in Kazakhstan. Two models were prepared: to predict food consumption on a national scale per capita per month, and to predict the percentage distribution of various food categories. The prediction of the percentage distribution of various food categories in Kazakhstan demonstrates the positive modelling quality indicators and strengthens the assumption that network modelling can be used. Predictions for total food consumption over the next three years indicate declining metrics, raising concerns about the potential food insecurity risk in Kazakhstan.

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Section: Introductionmentioning

confidence: 99%