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Wen Luo; Qian Cai; You Zhou (et al.)
Throughout the COVID-19 pandemic, WFP has continually assessed household vulnerability to food and nutrition insecurity through monitoring surveys, while simultaneously providing technical assistance and operations support for programmes in response to the pandemic in the Asia Pacific region. Based on these experiences and in cooperation with partners, WFP undertook a series of studies to better understand the realities of the food security and nutrition landscape since the start of the COVID-19 pandemic in the region. In addition to WFP’s food security monitoring reports and data made available from WFP’s Fill the Nutrient Gap analyses, this brief utilizes secondary data relevant to the crisis, as well as four documents recently published by WFP and its partners. While the focus of this brief is on the COVID-19 crisis, its lessons can be applied now and into the future. Other types of covariate shocks will create compounding problems for countries.
Nurul Hidayat binti Ab Rahman; Redwan bin Yasin
Dambala Gelo; Johane Dikgang
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.
Hayman Win; Sohana Shafique; Nicole Probst-Hensch (et al.)
Sandeep ; Sudha Rathore; O. M. Prakash (et al.)
Marybel R. Gonzalez; Sandra A. Brown; William E. Pelham 3. (et al.)
Rahmaniah ; Masniati ; Fauziah (et al.)
Stunting is a condition of failing to grow a toddler as an accumulation of chronic nutritional problems. Toddlers are categorized as stunting if the z-score is in the range of -3 to <-2SD based on the Height By Age index. Stunting children are more susceptible to disease and contribute to a child's below-average level of intelligence. The long-term effects of stunting can stunt economic growth as well as increase a nation's poverty. This study aims to analyze household food security during the covid-19 pandemic with stunting events in toddlers aged 6-23 months in Pangali-Ali Village, Majene, West Sulawesi.
Satvinder Kaur; Nik Norasma Che’Ya; Wan Ying Gan (et al.)
Pawana Kayastha; Vijaya Kumar Chikanbanjar; Rajesh Kumar Panday (et al.)
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.
Jessica Escobar-DeMarco; Santhia Ireen; Rowshan Kabir (et al.)
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.
Elder Varela; Jamie Zeldman; Giuliana Blanca (et al.)
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.
Amayrani Vanessa Ruiz Ulloa; María del Carmen Caamano; Hugo Melgar-Quinonez (et al.)
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.
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