Children and COVID-19 Research Library

Recent studies have confirmed that the COVID-19 lockdown has caused massive job losses. However, the impact of this loss on food security is not well-understood. Moreover, a paucity of evidence exists regarding social protection grants’ countervailing effects against such shocks. This study examined the effects of job loss (labour income loss) on child and household hungers (our two measures food insecurity) during COVID-19 pandemic in South Africa. It also ascertained whether these effect were offset by alternative social grant programs to document the protective role of the latter.It used South Africa’s National Income Dynamics Study (NIDS) and the Coronavirus Rapid Mobile Survey (CRAM) data. These data cover a nationally representative sample of 7073 individuals. We employed a probit model to estimate the effect of job loss and receipts of various social grants on child and households’ hungers. It also estimated the double-selection logit model to account for the model’s uncertainty surrounding the variable selection and treatment-effects estimation using lasso (Telasso) for causal inference of our analysis.

Online grocery services hold potential to reduce physical barriers to equitable healthy food procurement, particularly among low-income families who often live far from groceries stores. During COVID-19, the USDA authorized the use of the Supplemental Nutrition Assistance Program (SNAP) benefits online in some retailers across the US. We aimed to evaluate the nutritional quality of online grocery purchases among SNAP-eligible families. Itemized receipt data was analyzed from a larger mixed methods study of online grocery shopping behaviors of SNAP-eligible families in Maryland. Of the 310 participants who completed the survey, 39 submitted grocery receipts. Of those, 19 participants submitted receipts with complete data for nutritional analysis on total amount spent, number of items purchased and units, weight (oz), and % of expenditure on fruits, vegetables, and sugar sweetened beverages (SSB). Nutritional analysis compared purchases of propensity score matched samples of SNAP (n = 14) versus SNAP-eligible non-participant families (n = 5) using a zero-inflated Poisson regression, controlling for sociodemographic factors.

The COVID-19 pandemic disrupted health services worldwide. Alive and Thrive (A&T) is testing MIYCN integration into non-governmental organizations’ (NGOs) health services in eight facilities in Dhaka. We aimed to develop a data-driven urban MIYCN intervention pathway adapted to continue delivering nutrition services during COVID-19. A&T used its learnings from previous interventions and formative research to design an urban MIYCN intervention with a social and behavior change strategy set to improve nutrition practices. Mixed monitoring data were used to track the intervention elements capacity building, demand creation, service delivery, and supervision; and COVID-19 situation domains lockdown, restrictions, guidelines, staff turnover, contextual and behavior changes, adaptations, and budget implications. COVID-19 studies as well as external value chain, market, and food security reports were used. Monthly monitoring data were used to identify and validate potential adaptations.

To explore the perceived barriers and needs of different types of community stakeholders regarding services and resources to improve food security for families with children under 3 years before and during COVID-19. Community stakeholders (n = 32) working with low-income families with children ages 0–3 years in Florida participated in a 60-minute interview via Zoom. Participants included those working in healthcare (n = 7), community/policy development (n = 6), emergency food assistance (n = 6), early childhood development (n = 7), and nutrition education (n = 6). Trained researchers conducted interviews using a semi-structured script based on the PRECEDE component of the PRECEDE-PROCEED model. Interviews were audio-recorded, transcribed verbatim, and analyzed using an inductive thematic approach. Crosstab qualitative analysis was used to compare data across different types of stakeholders.

To evaluate the changes in Household Food Insecurity (HFI) and diet in children pre and post COVID-19 pandemic in a group of children living in an urban area in Querétaro, Mexico. A total of 67 children (mean age = 11 years, range = 9–13 years) participated in this longitudinal study. HFI and diet were measured in-person, before the COVID-19 pandemic (December 2019) and by phone, after the COVID-19 pandemic (March 2021). HFI was assessed using the Latin American and Caribbean Food Security Scale (ELCSA) while diet was assessed using a previously validated food frequency questionnaire. Differences in HFI and diet were tested using McNemar's and T-student tests, respectively.