The coronavirus pandemic and food security: Evidence from Mali

Diet Quality, Healthy Dietary Restrictions, and Adherence to the Mediterranean Diet in Food Deserts Among the Elderly in Spain

BACKGROUND/OBJECTIVES

Food deserts are areas characterized by limited access to affordable and healthy food, often due to significant distances from supermarkets-exceeding 1.6 km in urban areas and 16 km in rural settings. These spatial limitations exacerbate health and socioeconomic disparities. This study aimed to assess diet quality and explore the barriers influencing dietary behaviors among individuals aged 60 and older residing in food deserts in Aragón, Spain.

METHODS

An exploratory qualitative study using a phenomenological approach was conducted, complemented by descriptive analyses of sociodemographic data and adherence to the Mediterranean diet, assessed through the PREDIMED questionnaire. Data were collected through in-depth interviews and a focus group with residents of food deserts.

RESULTS

Half of the participants showed high adherence to the Mediterranean diet, while the other half had moderate adherence. Despite the lack of access to supermarkets and higher food costs, many participants perceived their diet quality positively. Challenges, such as long distances to stores, limited public transport, and economic constraints, were mitigated through strategies like home gardening, hunting, and traditional cooking, which often reduced reliance on processed foods. However, participants also reported increased alcohol consumption as a means of socializing.

CONCLUSIONS

Diet quality in Aragón's food deserts reflects a balance between significant access barriers and community-driven resources. While participants leveraged local strategies to maintain diet quality, systemic issues remain. Public policies should focus on improving transportation, enhancing local food systems, and fostering community-based initiatives to reduce inequalities in food access and promote healthier dietary habits in rural areas.

Blockchain revolution in food supply chains: A positive impact on global food loss and waste

The rising global population has created an urgent need for increased food production. Food loss and waste remain significant challenges throughout the food supply chain, from cultivation to consumption. Blockchain, a decentralized peer-to-peer network that stores information can help making food more traceable, from production to consumption. It can also help enhance food production sustainability, transparency, quality and safety. By tracking all aspects of food it plays a crucial role in reducing food loss and waste. Several organizations that have briefly introduced this technology, along with the Internet of Things, although the real benefit of blockchain is achieved when several players in the food chain adhere to this technology. This review emphasizes how blockchain was adapted to the food chain, its challenges, benefits and limitations, and how some food sectors have used this technology. A brief perspective on how the Internet of Things and Blockchain will evolve in the future.

COVID-19 and its effects on food producers: panel data evidence from Burkina Faso

INTRODUCTION

Burkina Faso implemented stringent measures in response to the COVID-19 pandemic that profoundly affected its economy and might have exacerbated food insecurity. While prior studies have assessed the impact of these measures on consumers, there is a dearth of evidence of its effects on food producers in Sub-Saharan Africa. This study aims (i) to evaluate the repercussions of COVID-19 on the possession of food production assets and on the number of livestock owned; and (ii) to determine the correlation between the food insecurity experience scale (FIES) score, ownership of these assets, and the number of livestock owned.

METHODS

This study employs a pre-post comparison design in two panels of randomly selected households in Burkina Faso. While Panel A was constituted of 384 households predominantly (76%) living in rural areas, Panel B comprised 504 households, only half of which (51%) lived in rural areas. All households were visited twice: in July 2019 and February 2021, for Panel A, and in February 2020 and February 2021, for Panel B. Panel B was added to the study before the pandemic thanks to additional funding; the timing of the survey was harmonized in both panels for the second round. Regression models were used with fixed effects at the household level, controlling for potential time-invariant confounding variables, and correlation coefficients between possession of production assets or number of livestock and FIES score were measured.

RESULTS

Our findings indicate that the possession of some assets in Panel A (cart, livestock, bicycle, watch) was significantly reduced during the pandemic, as was the herd sizes among livestock-owning households in both panels. Households with fewer production assets and number of livestock were more likely to experience food insecurity.

CONCLUSION

This study underscores the vulnerability of rural households in Burkina Faso to the economic disruptions caused by the COVID-19 pandemic. Addressing the challenges faced by farming and livestock-owning households is crucial for mitigating food insecurity and improving resilience in the face of ongoing crises.

Resilience, endogenous policy responses to COVID-19, and their impacts on farm performance

Policy measures aimed at containing the spread of the COVID-19 pandemic had unintended consequences on economic activities globally. In this study, we isolate and investigate the short-term partial impacts of six such measures on the farm and nonfarm incomes of agricultural households and examine the related resilience factors. Using Nigeria as a case study, we find that the COVID containment measures had mixed effects on farm and non-farm incomes in the short run. These varying effects are due to households' resilience and vulnerability factors, including land size, wealth, income diversification, involvement in processing activities, and reliance on hired labor. Our findings highlight the need for more targeted health crisis containment measures which consider the uniqueness, diversity, and regional heterogeneity of agriculture, especially the potential implications for farm viability.

Household food insecurity, low maternal social support and maternal common mental disorders in East Mamprusi Municipality, Ghana

INTRODUCTION

Both household food insecurity and maternal common mental disorders are public health concerns in Ghana but studies on them, and their interrelatedness are scarce. Social support is an independent determinant of mental health but can also moderate the link between risk factors and mental illness. Identifying the risk factors of mental illness may provide opportunities for intervention and help reduce disease burden and impact. This study examined the association between household food insecurity or low maternal social support and maternal common mental disorders in East Mamprusi Municipality, Ghana.

METHODS

This was a community-based, cross-sectional study involving 400 mothers with children 6-23 months selected using multi-stage sampling. Summary scores for household food insecurity, maternal social support, and maternal common mental disorders were measured using Food Insecurity Experience Scale (FIES), Medical Outcome Study Social Support Scale (SSS), and WHO Self-Reporting Questionnaire 20 items (SRQ-20) respectively in personal interviews. Poisson regression models were fitted to determine the association of household food insecurity or low maternal social support with maternal common mental disorders, controlling for selected socio-demographic variables.

RESULTS

The mean age of the participants was 26.7 (± 6.68) years, and the mean FIES, SSS, and SRQ-20 scores were 5.62 [95% Confidence Interval (CI): 5.29-5.96] out of 8, 43.12 (95% CI: 41.34-44.90) out of 100, and 7.91 (95% CI: 7.38-8.45) out of 19 respectively. About two-thirds of the households (71.9%), and 72.7% and 49.5% of the women had food insecurity, low social support and probable common mental disorder respectively. In the adjusted analyses, a unit increase in FIES score was associated to a 4% increment in the predicted SRQ-20 score [Incident Risk Ratio (IRR) 1.04; 95% Confidence Interval (CI): 1.02, 1.06; p = 0.001], and the predicted SRQ-20 score of the women belonging to low social support category was 38% higher compared to that of women of high social support category (IRR 1.38; 95% CI: 1.14, 1.66; p = 0.001).

CONCLUSION

The prevalence of household food insecurity and common mental disorders among mothers are high, and both household food insecurity and low social support are significantly related to common mental disorders in women. Interventions to reduce both household food insecurity, and common mental disorders in women are warranted, and should include social support for women.

COVID-19, food coping strategies and households resilience: the case of informal sector in Burkina Faso

The closure of markets in the city of Ouagadougou due to COVID-19 pandemic has had consequences on the food security status of households, in particular households of informal sector. The objective of this paper is to analyze the effect of COVID-19 on households' likelihood to resort to food coping strategies taking into account their resilience capacities. A survey was carried out among 503 households of small traders in five markets in the city of Ouagadougou. This survey identified seven mutually inclusive food coping strategies which are endogenous and exogenous to households. Thus, the multivariate probit model was used to identify the factors explaining the adoption of these strategies. The results indicate that the COVID-19 pandemic has had an impact on households' likelihood to use certain food coping strategies. Furthermore, the results show that assets and access to basic services is the main pillar of household resilience that reduces how likely a household resort to coping strategies due to COVID-19. Therefore, strengthening adaptive capacity and improving social security of households of informal sector are relevant.

Food-based bilateral trade balance performances between the United States and Canada under COVID-19

The food industry has been greatly impacted by COVID-19, causing governments to restrict food exports to prevent shortages. A negative food trade balance reveals a country's dependence on imports and underscores the significance of a sound food policy. Hence, for the first time, this study examines the J-curve hypothesis for the U.S. with Canada at the state rather than country level and creates maps based on the findings. The approach of this study differs from all empirical studies using country-level J-curve analyses, because the U.S. may require a state level analysis since its states differ in terms of economic-population sizes, tax rates, and administrative structures. For this aim, this study employs the linear and nonlinear autoregressive distributed lag (ARDL) approaches. The results indicate that while only 8 out of 47 U.S. states support the food-based asymmetric J-curve hypothesis, 15 U.S. states support the asymmetric inverse J-curve hypothesis. Additionally, 9 U.S. states support the food-based symmetric J-curve hypothesis, and 2 U.S. states support the symmetric inverse J-curve hypothesis. Based on these results, policymakers of U.S. states where the J-curve hypothesis is not supported should review their food-based bilateral trade policies with Canada.

Graphical abstract

These maps depict the U.S. states in green and red, indicating support for the J-curve and inverse J-curve hypotheses, respectively. The map on the left was generated using the linear model (symmetric approach), while the map on the right was generated using the nonlinear model (asymmetric approach).

Supplementary Information

The online version contains supplementary material available at 10.1007/s00003-023-01436-x.

The COVID-19 pandemic and food security in low- and middle-income countries: a review

We review findings from the emerging microeconomic literature on observed changes in food insecurity associated with the COVID-19 pandemic. To do so, we focus our review on studies in low- and middle-income countries that include household survey data measuring food insecurity collected both before and after the onset of the COVID-19 pandemic. We first focus on several studies-seven from countries in Sub-Saharan Africa and one from India-that estimate immediate changes in food insecurity associated with the COVID-19 pandemic. Next, we review subsequent analysis studying longer term changes in food insecurity associated with the COVID-19 pandemic. This review, therefore, complements existing macroeconomic projections of food insecurity based on expected changes in income and prices.

Link between structural risk factors for adverse impacts of COVID-19 and food insecurity in developed and developing countries

COVID-19 has had serious consequences for world food security; lockdowns and social distancing have led to changes in global food value chains, primarily affecting the poorest of the planet. The aim of this research is to analyse the relationship between food insecurity and the structural risk factors for adverse impacts of COVID-19. To that end, 12 contingency tables are constructed to identify the association between the pillars of the food insecurity index and the INFORM COVID-19 Risk Index. We use the Gamma coefficient as a measure of association. In addition, this paper proposes a synthetic index produced by applying the TOPSIS method, using the pillars of the two aforementioned indices (criteria) to establish a ranking of 112 countries (alternatives) ordered from highest to lowest risk faced in the key year of the pandemic, 2020. The results show that the two problems are connected, indicating to international organizations that countries with worse food insecurity will suffer more serious consequences from extreme situations such as the one experienced during the pandemic. The ranking established directs international organizations' attention to countries such as Haiti, Zambia and Burundi, highlighting their greater need for an injection of financial aid than other emerging economies. Conversely, Switzerland is the country with the lowest combined risk.

COVID-19 in rural Africa: Food access disruptions, food insecurity and coping strategies in Kenya, Namibia, and Tanzania

This study assesses the extent of COVID-19-related food insecurity in Kenya, Tanzania, and Namibia. Using the Household Food Insecurity Access Scale, we measure food insecurity in various dimensions and document several food access disruptions associated with the COVID-19 pandemic between April and July 2020. Furthermore, we assess the association of COVID-19 countermeasures with the adoption of various strategies in line with the coping strategies index. We rely on a unique phone survey that followed households who participated in an earlier field-based survey. First, through Ordinary Least-Squares and Probit regressions, we show a strong and statistically significant association between COVID-19 countermeasures and food access disruptions and food insecurity in each of the three countries. We then use a multivariate probit regression model to understand the use of the various coping strategies, including reducing food intake, increasing food search, and relying more on less nutritious foods. We provide evidence on the complementarities and trade-offs in using these coping strategies. COVID-19 and related lockdown measures coincided with a deleterious increase in food insecurity in rural Africa.

COVID-19 market disruptions and food security: Evidence from households in rural Liberia and Malawi

We use data collected from panel phone surveys to document the changes in food security of households in rural Liberia and Malawi during the market disruptions associated with the COVID-19 lockdowns in 2020. We use two distinct empirical approaches in our analysis: (a) an event study around the date of the lockdowns (March to July 2020), and (b) a difference-in-differences analysis comparing the lockdown period in 2020 to the same months in 2021, in order to attempt to control for seasonality. In both countries, market activity was severely disrupted and we observe declines in expenditures. However, we find no evidence of declines in food security.

Food insecurity during the first year of the COVID-19 pandemic in four African countries

We document trends in food security up to one full year after the onset of the COVID-19 pandemic in four African countries. Using household-level data collected by the World Bank, we highlight differences over time amid the pandemic, between rural and urban areas, and between female-headed and male-headed households within Burkina Faso, Ethiopia, Malawi, and Nigeria. We first observe a sharp increase in food insecurity during the early months of the pandemic with a subsequent gradual decline. Next, we find that food insecurity has increased more in rural areas than in urban areas relative to pre-pandemic data within each of these countries. Finally, we do not find a systematic difference in changes in food insecurity between female-headed and male-headed households. These trends complement previous microeconomic analysis studying short-term changes in food security associated with the pandemic and existing macroeconomic projections.

Perceived effects of COVID-19 restrictions on smallholder farmers: Evidence from seven lower- and middle-income countries

CONTEXT

The COVID-19 pandemic caused unprecedented global disruption and continues to wreak havoc. Dire predictions were made about the risks to smallholder farmers in lower- and middle- income, but hard data have been lacking. We present the results from 9201 interviews with smallholder farmers from seven countries.

OBJECTIVE

The objectives are to describe: i) how farmers perceive the key effects of the COVID-19 pandemic and containment measures on livelihoods and food security; ii) the effects on agricultural activities; iii) the coping strategies households deployed.

METHODS

Household surveys were conducted as part of ongoing monitoring programs during the latter half of 2020. Sites in seven countries were covered: Burundi; Kenya; Rwanda; Tanzania; Uganda; Zambia; and Vietnam. Findings are representative of smallholder farmers across multiple districts per country.

RESULTS AND CONCLUSIONS

The effects of the COVID-19 containment measures were widespread and often perceived to be severe. Food purchase, off-farm income, sale of farm produce, and access to crop inputs were all affected. In locations under more stringent restrictions during the time of the survey, up to 80% of households had to reduce food consumption and/or variety. Almost all households with off-farm incomes reported reductions, by half on average. A half to three-quarters of households (depending on the location) with income from farm sales reported losses compared to the pre-pandemic situation. In locations with more relaxed containment measures in place during the time of the survey, less frequent and less severe economic and food security outcomes were perceived by the respondent, with around 20% of households reporting negative outcomes. Mobility restrictions, reduced market access, crashes in sale price for agricultural goods, and soaring prices for food purchase were key factors. Sale prices generally dropped for all agricultural products in any given location, and affected not only high-value perishable products, but also staple crops such as maize and cassava. Depending on the location, between 30% and 90% of the households applied coping strategies in response to the pandemic during 2020. There was an almost complete absence of official aid amongst households interviewed.

SIGNIFICANCE

Our results raise the thorny issue of how best to balance containment of disease against the wellbeing of the vulnerable rural population in lower- and middle-income countries. There is a risk that the buffering capacity of rural people will become exhausted. Possible policy measures to limit negative outcomes include i) tiered mobility restrictions with travel allowed for economic reasons; ii) short-term price guarantee schemes to stabilise the food system; iii) direct aid; iv) the timely re-installation of distribution channels for agricultural inputs.

Impacts of the COVID-19 pandemic on food prices: Evidence from storable and perishable commodities in India

The supply chain disruptions caused by the COVID-19 outbreak have led to changes in food prices globally. The impact of COVID-19 on the price of essential and perishable food items in developing and emerging economies has been lacking. Using a recent phone survey by the World Bank, this study examines the impact of the COVID-19 pandemic on the prices of the three essential food items in India. The results indicate that price of basic food items such as atta (wheat flour) and rice increased significantly during the pandemic compared to the pre-pandemic period. In contrast, during the same period, the price of onions declined significantly. The findings may suggest panic-buying, hoarding, and storability of food items. The results further reveal that remittance income and cash transfers from the government negatively affected commodity prices. Thus, this study's findings suggest that families may have shifted the demand away from essential foods during the pandemic.

COVID-19 Pandemic, Technological Progress and Food Security Based on a Dynamic CGE Model

The global spread of COVID-19 has complicated the international equilibrium of grain production and trade. China now faces external shocks in the international grain market and deep-seated problems associated with the structure of domestic supply. We used a dynamic, computable general equilibrium (CGE) model to analyse the effects on China’s food security and macroeconomics under the COVID-19 scenario and four technological progress paths in the agricultural sector. We showed that the COVID-19 pandemic is disrupting China’s food security in the short term, and critical quantitative variables such as grain production and grain consumption per capita have declined. Considering food security and macroeconomic development, labour-saving technological progress outperformed neutral technological progress, land-saving technological progress, and capital-saving technological progress in the short run. While land-saving technological progress contributes the most to the arable land area per capita of wheat and other grains in the long run.

Overstocked Agricultural Produce and Emergency Supply System in the COVID-19 Pandemic: Responses from China

The spread of COVID-19 has affected not only public health but also agriculture, raising global concerns regarding the food system. As an immediate impact of COVID-19, farmers around the globe have had difficulties with sales, resulting in large amounts of overstocked agricultural products and food loss. This further threatens the livelihood of rural, poor farmers and impacts sustainable production. To provide a better understanding of the overstocking situation after the outbreak of the pandemic, this study depicts the distribution characteristics of overstocked agricultural products in China. After analyzing a nationwide data set collected from 3482 individuals/organizations by the Chinese Agri-products Marketing Association after the outbreak of the pandemic, we found that some of the initial prevention and control measures disrupted sales channels, and in turn, caused the farmers to suffer losses. The impact was more severe in perishable products and their production areas, as well as in poverty-stricken regions. Then, we identified China's quick and effective actions to match the supply and demand. These findings suggest that emergency responses should coordinate the relationship between emergency actions and the necessary logistics of agricultural production. To prepare for the possibility of such shock in the future, the government should take actions to clear logistics obstacles for necessary transportation, keep enhancing the fundamental infrastructure and effective mechanism of the food supply chain, and actively include innovative techniques to build a more resilient food system.