Bayesian regression model with application to a study of food insecurity in household level: a cross sectional study.

ABSTRACT:

Background

Food insecurity is a situation in which access to sufficient food is limited at times during the year by a lack of money and other resources. Even though several efforts were made to recover food security, still it is a critical social problem that needs immediate attention from policy and other decision makers especially in Ethiopia. The objective of the paper was to identify the significant predictors of food insecurity at household level in the given District.

Method

A cross-sectional survey study was employed among 305 households selected using systematic random sampling technique. The data was collected using structured interviewer administrative questionnaire. Descriptive statistics was used to assess the prevalence of food insecurity status, and Bayesian es

SUBMITTER: Gebrie YF 

PROVIDER: S-EPMC8008667 | biostudies-literature | 2021 Mar

REPOSITORIES: biostudies-literature