Impact of COVID-19 on food insecurity using multiple waves of high frequency household surveys.
Ontology highlight
ABSTRACT: In response to the rapid spread of COVID-19, governments across the globe have implemented local lockdowns that have led to increased unemployment and have disrupted local and international transport routes and supply chains. Whilst such efforts aim to slow or stop the spread of the SARS-CoV-2 virus, they have also resulted in increased food insecurity, whether due to reduced incomes or increased food prices. This is the first paper to track food insecurity and its determinants during the pandemic using multi-country and multi-wave evidence. Using data from 11 countries and up to 6 waves of High-Frequency Phone Survey data (household-level surveys) on COVID-19 and its impacts, we use a fixed-effects linear probability model to investigate the socioeconomic determinants of food insecurity d
SUBMITTER: Dasgupta S
PROVIDER: S-EPMC8814158 | biostudies-literature | 2022 Feb
REPOSITORIES: biostudies-literature
ACCESS DATA