Bayesian belief network modelling of household food security in rural South Africa.

ABSTRACT:

Background

Achieving food security remains a key challenge for public policy throughout the world. As such, understanding the determinants of food insecurity and the causal relationships between them is an important scientific question. We aim to construct a Bayesian belief network model of food security in rural South Africa to act as a tool for decision support in the design of interventions.

Methods

Here, we use data from the Agincourt Health and Socio-demographic Surveillance System (HDSS) study area, which is close to the Mozambique border in a low-income region of South Africa, together with Bayesian belief network (BBN) methodology to address this question.

Results

We find that a combination of expert elicitation and learning from data produces the most credibl

SUBMITTER: Eyre RW 

PROVIDER: S-EPMC8130258 | biostudies-literature | 2021 May

REPOSITORIES: biostudies-literature