Abstract

Household food insecurity is an important variable for understanding the nutritional status of children and women in low-income countries. This study was therefore initiated to determine household food insecurity status and to analyse the impact of COVID-19 on household food security in a selected number of households in the Horo Guduru Wollega Region of Ethiopia. Multistage sampling methods were used in this study. First, 4 were randomly selected from 12 found in the Horo Guduru Wollega area. The population/size ratio is then used to select households in each city. Finally, the eligible households for the study were randomly selected. Accordingly, 360 sample data were collected from 5,710 poor households in four urbans in the Horo Guduru Wollega zone. Both qualitative (in-depth interview) and quantitative data (structured questionnaires) were included in this study. The data collected were analysed using the propensity score matching model. The result of the concordant estimation of the propensity score showed supportive indications for improving the food security standard of living. All consistent test methods used for analysis showed that there was a statistically significant difference in the assessment of dietary diversity between safe and unsafe foods. This study concludes that the COVID-19 pandemic is affecting household food security in the study area. Therefore, all concerned bodies are responsible to overcome the problem of food insecurity that occurred due to the COVID-19 in the region and nationally. The data analysed to know impact COVID-19 on food security in the study area. The propensity score matching estimation result has shown supportive evidence about the improvements of the living standard of food security. All of the matching test methods employed for the analysis showed that there was statistically significant dietary diversity scores difference between food secure and insecure. In general, this study revealed that COVID-19 pandemic affects household food insecurity status in study area.

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