Introduction

The coronavirus disease 2019 (COVID-19) and associated mitigation measures are highlighting the resiliency and vulnerability of food systems with consequences for diets, food security, and health outcomes (Naja and Hamadeh 2020; Nat Food 2020; IPES Food 2020). The COVID-19 pandemic has cross-cutting implications for all aspects of food systems from production, distribution, and storage to food environments, consumption, and waste, at all levels and scales (Zurayk 2020). On the production side of food systems, the COVID-19 pandemic is disrupting farm management practices, access to on farm-input, labor schedules, food transport, and supply chains (Torero 2020). These supply chain disruptions are impacting consumer food environments, which coupled with COVID-19 mitigation measures such as lock-down, influence food access, dietary choices and food security. Moreover, the diets that we consume, and their impacts on our metabolic health and nutritional status, have important implications for the progression and pathology of COVID-19 (Muscogiuri et al. 2020).

In order to evaluate the impacts of COVID-19 on food systems as well as identify entry points for implementing mitigation and preparedness efforts, frameworks and tools are called for that allow for identification of food system resilience. Resilience is variably defined including as the ability of a system to absorb disturbance and retain the same structure and functions (Walker and Salt 2006). A food systems resilience approach addresses the complex relationships within food systems despite disturbances (Tendall et al. 2015; Ericksen et al. 2010; Ingram et al. 2010), such as climate change, the COVID-19 pandemic, as well as the interaction of these disturbances. Most approaches for examining the effects of a global crisis on food security have focused on specific stages in the food value chain (Tendall et al. 2015). We posit that critical to a food systems resilience approach for understanding the effects of COVID-19 and other disruptions is consideration of the food environment. More specifically, we support it is critical to adopt a food environment typology framework that examines shifts in people’s interactions with different types of food environments.

Our working definition of the food environment is: “the consumer interface with the food system that encompasses the availability, affordability, convenience, quality and promotion, and sustainability of foods and beverages in wild, cultivated, and built (informal and formal) spaces that are influenced by the socio-cultural and political environment and ecosystems within which they are embedded” (Downs et al. 2020). The food environment is especially critical to focus on in the context of COVID-19 given that mitigation efforts have influenced consumers’ ability to access and afford food, as well as its likely influence on convenience and food preferences. While the majority of food environment approaches focus on the formal built food environment, such approaches only partially explain the food environment in many low- and middle-income countries (Herforth and Ahmed 2015; Turner et al. 2017; Downs et al. 2020). Rather, we must adopt a food environment typology framework that is much more than the built food environment to examine the different types of food environments that individuals have access to in diverse contexts in low-, middle- and high-income countries and, how these shift in the face of COVID-19 and other disruptions.

In this article, we provide an overview of the food environment typology framework and its application for developing a rapid tool to evaluate the effects of COVID-19 on food environments. This tool was developed and implemented as a rapid pilot study with smallholder farmers in China at the onset of COVID-19 that generated a set of key hypotheses. We then modified the tool in order to increase its applicability to diverse contexts in low-, middle-, and high-income countries. Other researchers can implement the rapid tool presented here during times of COVID-19 as well as other disruptions, both acute and chronic shocks such as market failures and climate change, towards identifying barriers and opportunities for enhancing food system resilience.

Food environment typology framework

The food environment typology framework comprises of two overarching types of food environments: natural and built environments (Downs et al. 2020; Fig. 1). These further comprise of wild, cultivated, informal market, and formal market food environments. Individuals have access to various types of food environments at a given time and this may shift over time, including over the long-term with development, periodically with different seasons, and due to acute disruptions, such as the COVID-19 pandemic and extreme weather events. It is important to evaluate the different types of food environments that people have access to, and how their relationship with these shift with time, in order to identify frailties and entry points for enhancing food system resilience.

Fig. 1
figure 1

Food environment typology. There are two overarching types of food environments comprising the food environment typology including natural and built environments. (reproduced from Downs et al. 2020)

Rapid tool based on the Food environment typology framework for evaluating effects of COVID-19 on Food systems

We developed and implemented (after obtaining human subjects approval) a rapid tool based on the food environment typology framework at the onset of the COVID-19 pandemic (March–April 2020) with smallholder farmers (n = 60) and households living off-farm in rural and peri-urban contexts (n = 55) in Yunnan and Guizhou Provinces of China in communities where we have carried out long-term research. The rapid tool (Appendix 1) titled COVID-19 Surveillance Community Action Network (C-SCAN) for Food Systems includes a short set of interview questions that can be implemented as phone interviews, online surveys, or via mobile phone applications. Based on our initial interviews, we generated a set of hypotheses to refine the C-SCAN Food Systems tool. We further refined the tool through an iterative process of a panel of researchers working in diverse contexts in order for the C-SCAN Food Systems tool to be suitable for implementation across different country contexts. The final C-SCAN Food Systems tool includes the following components: (1) underlying hypotheses, (2) sampling approach including time series sampling, (3) recommendations for adapting questions for local contexts, (4) interview script with consent and, (5) questionnaire. The questionnaire section is comprised of six parts including questions on demographics, food environments, diets, food preparation, income, and farming and gardening. Below, we share observations from our preliminary interviews in China as well as other emerging food environment evidence that informed the development of our hypotheses underlying the C-SCAN Food Systems tool.

Wild food environments

Our preliminary C-SCAN Food Systems interviews in China indicate that in some cases, wild food procurement has increased with a shift in access away from built food environments. Although wild food environments are not a primary source of food acquisition, these environments are a source of nutrient-dense foods with diverse phytochemical profiles (Bharucha and Pretty 2010; Luo et al. 2019). While the food directly procured from wild food environments do not have financial costs, they do have costs in terms of acquisition and/or preparation time and occasionally financial cost of transport (Smith et al. 2019). Ninety-three percent of informants reported that their income has been impacted by the COVID-19 outbreak which has resulted in reduced purchasing power but more time for wild food procurement.

Cultivated food environments

Our preliminary interviews in China indicate that households that rely primarily on cultivated food environments experienced less impacts to their diets compared to households primarily reliant on formal built food environments. The majority of households primarily reliant on cultivated food environments have not experienced changes in their diets with the pandemic. Over half the smallholders interviewed shared that their farming practices and schedules shifted with the pandemic. Of note, households that follow an agroecological approach in farming that focuses on minimum external input and mimicking a habitat that fosters ecosystem services through managing diversity at the genetic, species, and landscape levels are more resilient during the pandemic compared to households and communities with greater reliance on external input including purchased seeds, fertilizer, and pesticide. The importance of cultivated food environments is being recognized in high-income countries during times of COVID-19 as home cultivation and cooperative gardens increase to strengthen local food systems (Rao 2020).

Informal & formal built food environments

Our preliminary interviews in China suggest that COVID-19 disruptions to built food environments are affecting the availability, affordability, convenience, and quality of foods that people can access. In particular, those that are primarily reliant on formal built food environments, such as supermarkets that are dependent on global supply chains, are more vulnerable to dietary shifts compared to those that also access informal markets that rely on local procurement. For example, 73% of study informants shared that the affordability of foods in built (informal and formal) food environments decreased with the COVID-19 outbreak. On the positive side, new types of food environment innovations such as mobile phone food vendors and delivery services are emerging where formal built markets are failing to increase food access.

The vulnerabilities of built food environments are being elucidated during the COVID-19 pandemic and highlight our entrenched societal reliance on these environments (Nat Food 2020). The emergence of the SARS-CoV-2 virus that causes COVID-19 has been traced back to a wildlife market for food and medicine in China, bringing into question the food safety practices of wet markets (St. Cavish 2020). Amongst the most vulnerable sector of the food system during the pandemic is food service, which had seen a steady rise over the past five decades as people increasingly consumed food away from home. With lock-down measures, restaurants, fast food venues, and institution cafeterias temporarily closed, redirecting people to markets with more at-home meal preparation (IPES Food 2020).

Interactions with and between food environments

Overall, 55% of the informants in our preliminary study shared that their relationship with the types of food environments they procure food has shifted with the COVID-19 outbreak. It is important to note that not only are people’s reliance on food environments shifting, but that interactions between different types of food environments are also shifting. For example, food service closures are having chain reactions throughout the food system (Torero 2020). Farms that provide food to this sector are having difficulty selling their products and, in many cases, have dumped nutritious food due to distribution vulnerabilities (Torero 2020; Yaffe-Bellany and Corkery 2020; IPES Food 2020). While preparing meals at home is recognized to have nutritional benefits, it can be prohibitive in terms of costs for cooking equipment and supplies such as fuel as well as knowledge and skills for preparing healthy meals.

On the basis of our preliminary research with smallholder communities in China, we propose the following hypotheses based on the food environment typology framework for exploring effects of COVID-19 on food systems towards elucidating entry points for designing programs and policies for supporting resilience.

  1. (1)

    The greater the number and the more diverse the types of food environments that individuals, households, and communities have access to, the greater their resilience with regard to diets and food security. This hypothesis of increased diversity of food environment types is directly aligned with resilience theory where diversity is a key socio-ecological determinant of resilience (Walker and Salt 2012).

  2. (2)

    In times of the COVID-19 pandemic, wild foods will serve an increased role in supporting food security and people will have more time to procure wild foods.

  3. (3)

    Traditional ecological knowledge and reliance on wild food environments enhances food security and food system resilience.

  4. (4)

    Procuring food from cultivated food environments during times of COVID-19 will enhance food security and food system resilience.

  5. (5)

    Cultivating food following an agroecological approach that fosters ecosystem services through managing genetic, species, and landscape diversity will be more resilient during the COVID-19 pandemic compared to households and communities with greater reliance on external input.

  6. (6)

    Informal built food environments that rely on local agricultural products will be more resilient during the COVID-19 pandemic compared to formal built food environments that are dependent on lengthy global supply chains.

The C-SCAN Food Systems tool presented here (Appendix 1) is designed to address these hypotheses in a rapid manner in diverse contexts in low-, middle-, and high-income countries. While the tool provides a snapshot of how consumers interface with different types of food environments in the face of food system disruptions, it can be combined with additional methods and tools to gain further insight into the resiliency of those systems. Moreover, the questions are designed to elicit yes/no responses in order to enable a rapid assessment, but if time permits the responses can be elaborated on in greater detail.

We encourage other researchers to adopt the C-SCAN Food Systems tool for the community contexts where they live and work. The use of a common tool will enable us as a global community of food security researchers to share lessons, identify patterns as well as context specific factors that inform the development of evidence-based plans for transforming the food system to one that is more resilient to future disruptions.