COVID-19 and food security risk in Nkambe Cameroon: perceptions, drivers and household response measures.

This study focuses on COVID-19 and food security risk, capturing perceptions, drivers and household response measures. Using a mixed research design, the researchers investigated food security risk in Nkambe Cameroon during peak periods of COVID-19. Data were collected through a structured questionnaire distributed to 400 respondents and key informant interviews, and it was analysed using both descriptive and inferential statistics. Results showed significant differences in the food security dynamics among COVID-19-infected and non-infected households (19% and 33%, respectively,  = 0.002), with non-infected households being more food secure than COVID-19-infected ones. Significant positive effects between variables, like age of respondent, household size, level of education and food security of affected households were identified. The regression model explains 82.8% of the food security determinants in the midst of COVID-19's peak period. Both COVID-19-infected and non-infected households responded to food insecurity through food rationing and consumption frequency rationing, instead of reducing food consumption frequency. The researchers recommend increasing the efficacy of safety nets and other social assistance programmes in the face of shocks by targeting households most vulnerable to COVID-19-induced food insecurity. Expanding this research agenda to other study sites with a gender lense can provide insights for food security policies post COVID-19.