Abstract
Alongside the dramatic impact on health systems, eating, shopping, and other food-related habits may have been affected by the COVID-19 crisis. This paper analyses the impacts of the COVID-19 pandemic on food shopping habits and food-related activities of a diverse sample of 340 adult consumers in Morocco. The study is based on an online survey conducted in Morocco from September 15 to November 5, 2020, utilizing a standardized questionnaire delivered in French and Arabic via Survey Monkey. The findings show that consumers' diet, shopping behavior, and food interactions have changed significantly. Indeed, the survey outcomes indicated (i) an increase in the consumption of local items owing to food safety concerns; (ii) an increase in online grocery shopping; (iii) a rise in panic buying and food hoarding; and (iv) an increase in culinary capabilities. The findings are expected to help guide Morocco's current emergency measures as well as long-term food-related policies.
Keywords: COVID-19, food behavior, food consumption, MENA region, North-Africa, Morocco
Introduction
The Coronavirus Disease 2019 (COVID-19), discovered in Wuhan (China) toward the end of 2019 (1), is now one of the most critical issues confronting humanity (2). Alongside the dramatic impact on health systems, the COVID-19 pandemic is expected to have dire effects on societies' socio-economic development and people's livelihoods worldwide (2). The pandemic is even considered a severe threat to achieving the Sustainable Development Goals (SDGs) encompassed in the 2030 Agenda for Sustainable Development (3).
Further, a growing body of studies indicates that COVID-19 has altered food systems (4, 5) with consequences on food and nutrition security (6–9). The COVID-19 epidemic created socio-economic shocks that impacted the global functioning of agricultural and food systems, as well as the food security situation of millions of people worldwide (10). Indeed, measures taken by governments to reduce and slow down the spread of the virus (e.g., lockdowns, mobility restrictions, shops closing) have affected several production sectors (e.g., agriculture) and value chains and disrupted international trade (11, 12). As a result, food production has generally declined during the pandemic, and all food chain stages have been disrupted (6, 13–17). Furthermore, survival psychology recognizes that individuals can experience behavioral adjustments due to specific circumstances such as natural disasters and health emergencies. These behavioral shifts may affect attitudes and behaviors related to food consumption (18). In this context, many articles show that the COVID-19 pandemic induced changes in food-related behaviors (19–22). Indeed, the pandemic has influenced food access and shopping behavior (23), food consumption habits and diets (24–28), as well as food wastage behavior (29). However, the COVID-19 pandemic effects are not alike across countries (11, 21, 27, 28, 30). El Bilali (31) argues that the pandemic is significantly affecting developing countries and vulnerable groups.
Morocco, a middle-income developing country, is the second most affected country by COVID-19 in Africa, after South Africa, and one of the most affected in the Near East and North Africa (NENA) region. As of February 21, 2021, Morocco recorded 480,948 confirmed cases of COVID-19 and 8,548 deaths (32). The first five confirmed cases of COVID-19 were reported in Morocco on March 2, 2020. Since then, the number of new cases per day has steadily increased to reach its peak of 6195 on November 13, 2020. Daily new cases have been slowly decreasing and reached 950 cases on December 29, 2020 (33). Morocco had initially successfully controlled the outbreak between March and May 2020 by taking several strong measures ranging from mobility restrictions (within the kingdom as well as travel bans) to calling for mandatory confinement. However, the government's priorities changed as the pandemic, and the related lockdown strategy, caused economic loss. As a consequence, Moroccan decision-makers eased precautionary measures on June 20, in favor of resuming economic activity and easing the financial constraints of individuals and businesses (34). Since then Moroccan government tries to have a balance between recovering the economy and saving lives by applying local measures instead of general ones, such as the lockdown applied in Casablanca during the first weeks of October 2020 (Table 1).
Table 1.
Date | Containment measure |
---|---|
March 13 2020 | Suspension of all passenger flights and ferry crossings to and from Algeria, Spain, and France |
March 13 2020 | Shutting down all schools and universities (from March 16) |
March 15 2020 | Suspension of all international flights, allowing only a minority of flights for foreigners wishing to leave the country Closure of mosques |
March 19 2020 | • Declaration of the state of health emergency from March 20 until April 20, 2020 • Closure of all non-essential shops and entertainment venues • Cancellation of all sport, cultural and art events • Suspension of intercity transportation |
April 6 2020 | Wearing face masks became mandatory starting from April 7 |
April 18 2020 | Extension of the state of emergency until May 20 and later until June 10 |
June 9 2020 | Announcement of a plan to ease the confinement measures and division of the country into two zones: Zone 1, where the health situation is under control; and Zone 2, where the situation is moderately controlled and most restrictions remain. Cafes, restaurants, cinemas and theaters remained closed in both zones. |
July 9 2020 | Resuming international flights, with access only for Moroccan citizens or for foreign residents in Morocco |
September 4 2020 | Allowing entrance of foreigners conditionally, through an invitation or a hotel reservation |
October 5-14, 2020 | Extended lockdown in Casablanca (the largest city of Morocco) |
December 21 2020 | Moroccan government announced imposing a 3-week curfew starting from December 23 |
These measures helped mitigate the public health threat, but many economic sectors, including the “informal sector,” were severely affected (34, 41). In this context, Haddad et al. (42) predict a decrease in Morocco's GDP and put that “the main losses are concentrated in the regions that most contribute to the country's GDP, which coincide with the most densely populated areas, and that the most affected sectors are labor and flow-intensive” (p. 10). Consequently, the government modified its priorities and eased the precautionary measures in June to re-launch the economy and reduce the financial pressure on citizens and enterprises (34). Also, Morocco created an emergency fund for the management of the COVID-19 pandemic (endowed initially with 10 billion MAD, about $1 billion) to upgrade health infrastructure and support the most affected economic sectors (43), including tourism, air transport, and some exporting sectors (e.g., textile and automotive sectors) (41).
The scholarly literature on the effects of the COVID-19 pandemic on food systems and consumption patterns has been so far mostly geographically biased; it focuses on Western and Southern Europe, North America, and China (30), while developing countries in general and those of the NENA region in particular, such as Morocco, have been overlooked. The analysis of the scholarly literature shows that most of the papers dealing with the COVID-19 emergency in Morocco focus on the dynamics of the spread of the virus as well as its health impacts (44–58). Other articles analyze the pandemic's socio-economic impacts in the kingdom (45, 59). Further papers address some specific impacts of the pandemic, such as on education (60, 61), transport (62), quality of life and wellbeing (63–65), and environmental pollution (66–68). Ouhsine et al. (69) analyze the impacts of the pandemic on solid waste generation at Moroccan households. However, the study was carried out only in two small municipalities in central Morocco (viz. Khenifra and Tighassaline) and does not specifically address food waste (it refers to a generic “organic fraction” without further distinction). Therefore, there is no comprehensive, nationwide analysis on food consumption behavior during the COVID-19 pandemic in Morocco. To fill this knowledge gap, the present article analyses the effects of the COVID-19 pandemic on food acquisition, access, and consumption in Morocco. In particular, the paper sheds light on how the COVID-19 emergency and the consequent confinement measures and lockdown, affected food-related behavior in Moroccan households.
Data Collection and Methods
The study is based on an online survey conducted in Morocco using a standardized questionnaire1. It was conducted in Arabic and French using Survey Monkey from September 15 to November 5, 2020. The survey link was circulated by e-mail and social media (e.g., Facebook, LinkedIn, Instagram). The snowball-sampling approach was used in the research, and participants were requested to distribute the online questionnaire.
The study targets the general adult population (age >18 years) in Morocco. Participating in the survey was entirely optional, and there was no monetary incentive to do so. We used the non-probability sampling method. The study was performed in compliance with the principles set out in the Helsinki Declaration, and all procedures concerning research participants were authorized by the Western Michigan University Human Subjects Institutional Review Board (HSIRB). At the beginning of the survey, all participants were informed about the research's objective and context and gave their digital informed consent regarding privacy and information management policies.
The questionnaire consisted of 24 questions of different types (multiple-choice and one option), divided into three sections: [1] 9 questions on socio-demographics of the respondents (e.g. education level, gender, income, etc.); [2] 13 questions on food purchase and consumption behavior (e.g., food shopping behavior, food-related activities, food waste, etc.); and [3] 2 questions on positive and negative emotions during the pandemic. A pre-test was performed with 21 participants to assure data quality, and feedbacks were used to adjust the survey before its administration. The total of valid collected answers was 340.
For multiple-choice socio-demographic questions, response options depended on the question's nature. For example, for question 5: “How would you describe your household income compared to other households in Morocco?,” response options were: Much lower than most other households/ Slightly lower than most other households/About the same as most other households/Slightly higher than other households/Much higher than other households. For some multiple-choice questions, a Likert scale was used and response options were: never = 0; first time = 1; much less = 2; slightly less = 3; about the same = 4; moderately more = 5; much more = 6. For some other multiple-choice questions, response options were 5-point Likert scale: 1 (not at all), 2, 3, 4, 5 (very much).
The questionnaire was carefully constructed to reduce the threat of common method variance and mitigate the respondents' chance of misunderstanding the items. Also, a range of preventative measures was applied.
The survey findings were downloaded for analysis into SPSS (Statistical Package for Social Sciences) version 25.0. Descriptive statistics (means, standard deviations, percentages, frequencies) were calculated. The analysis of multiple responses was performed to draw the percentages of responses and cases as well as the trends. Since variables were nominal and ordinal, non-parametric tests were used. Furthermore, The Spearman correlation coefficient was calculated to evaluate the association between the respondents' variables and socio-demographic characteristics. Results were significant for p < 0.05.
Results and Discussion
Socio-Demographic Characteristics of the Study Participants
Table 2 describes the socio-demographic profiles of the survey participants. The findings indicate that 54.41% of the respondents are men, 41.76% are married with children, and 39.41% earn the same revenue as most other households in Morocco. In terms of occupation status, of all the interviewees, 63.82% were working (full-time or part-time), and 20.29% were students. In addition, most of the respondents were in middle age (46.18% of them were 25–45 years old). The sample was well-educated, with 76.18% of respondents holding a master's or a Ph.D. Furthermore, 13.24% of the cohort lost their employment or had their salary reduced because of COVID-19 (Table 2).
Table 2.
Variable | Frequency | Percentage | Mean | Std. deviation | |
---|---|---|---|---|---|
N | % | ||||
Gender | Female | 155 | 54.40 | 1.46 | 0.499 |
Male | 185 | 45.60 | |||
Age | 18–24 | 96 | 28.24 | 2.64 | 1.417 |
25–34 | 77 | 22.65 | |||
35–44 | 80 | 23.53 | |||
45 and over | 87 | 25.60 | |||
Level of education | Secondary school and below | 9 | 02.64 | 5.71 | 0.598 |
University degree | 72 | 21.18 | |||
Higher degree (MSc or Ph.D.) | 259 | 76.18 | |||
Income compared | Lower than most other Moroccan households | 31 | 09.11 | 3.48 | 0.796 |
About the same as most other Moroccan households | 134 | 39.41 | |||
Higher than other Moroccan households | 175 | 51.47 | |||
Occupation | In paid work (full-time or part-time) | 217 | 63.82 | 1.72 | 1.225 |
Student | 69 | 20.29 | |||
Unemployed and looking for work | 19 | 05.59 | |||
Home duties or retired | 35 | 10.29 | |||
Household composition | Single person household | 44 | 12.94 | 2.63 | 1.024 |
Living with parents | 107 | 31.47 | |||
Married with/without children | 170 | 50.00 | |||
Extended family | 16 | 04.71 | |||
Shared household, non-related | 3 | 0.88 | |||
Job loss/pay reduction | Yes | 45 | 13.24 | 1.86 | 0.635 |
No | 295 | 86.76 |
Impact of COVID-19 on Food-Related Behaviors
As observed in several countries worldwide (72, 73), COVID-19 has transformed most participants' food shopping and procurement behavior in Morocco (Table 3). Firstly, 27.06% of the respondents indicated that they increased their purchase of local food products. Indeed, the consumption of local Moroccan food items has risen owing to food safety issues. As a consequence of the COVID-19 pandemic, concern over the transmission of the virus exists, and customers increasingly want to know where the food they purchase comes from. Consumers' irrational assumptions that foreign food items might pose a safety danger involved a preference for local food products. Also, 20.59% of the respondents stated that they ordered more groceries online. Meanwhile, 17.35% of respondents indicated that they ordered more food online from a full-service or fast-food restaurant or by a delivery application (Table 3).
Table 3.
Category* | Never | First time | Much Less | Slightly less | About the same | Moderately more | Much more | Mean | Std. Deviation | |||||||
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
Frequency | Percentage | Frequency | Percentage | Frequency | Percentage | Frequency | Percentage | Frequency | Percentage | Frequency | Percentage | Frequency | Percentage | |||
Buying local food | 5 | 1.5 | 3 | 0.9 | 0 | 0 | 18 | 5.3 | 222 | 65.1 | 60 | 17.65 | 32 | 9.41 | 4.33 | 0.843 |
Ordering groceries online | 213 | 62.5 | 16 | 4.7 | 6 | 1.76 | 6 | 1.76 | 36 | 10.8 | 34 | 10 | 29 | 8.53 | 5.96 | 1.665 |
Buying food in person from a large supermarket | 24 | 7.0 | 5 | 1.5 | 50 | 14.7 | 60 | 17.65 | 125 | 36.7 | 44 | 13 | 32 | 9.41 | 4.01 | 1.430 |
Buying food in person from a small supermarket or grocery store | 8 | 2.3 | 5 | 1.5 | 30 | 8.82 | 55 | 16.18 | 140 | 41.1 | 60 | 17.65 | 42 | 12.35 | 4.11 | 1.233 |
Meals delivered from a restaurant or by a delivery application | 177 | 51.9 | 8 | 2.3 | 27 | 7.94 | 19 | 5.6 | 50 | 14.7 | 40 | 11.76 | 19 | 5.6 | 5.51 | 1.831 |
Scale values: never = 0; first time = 1; much less = 2; slightly less = 3; about the same = 4; moderately more = 5; much more = 6.
Moreover, since shopping in a supermarket has a perceived risk, participants buying patterns have changed. On the one hand, more respondents purchase their groceries online to escape crowded shops, thereby accelerating food retailers' digitization (74). Responding to this growing demand, some Moroccan hypermarkets increased their delivery capacity and launched their e-commerce platforms for the first time. Marjane, the Moroccan hypermarket, launched a delivery App and partnered with the Spanish distribution platform Glovo (75). Also, in April 2020, Carrefour launched, in partnership with Jumia Food, a free home delivery service in major Moroccan cities (76). However, these channels did not grow as high as may have been the case in other countries. Several significant hurdles limit online shopping development in Morocco, such as the lack of online payment systems and low Internet penetration (77).
Secondly, 52.65% of the participants said they had stocked up on food since COVID-19 became severe. Indeed, just before the confinement in March 2020, a rush toward supermarkets has been observed in Morocco, and demand for flour and grains has jumped. Moroccans were panicking over the Coronavirus and stocking up in droves. Hence a surge in food prices. Despite promises from the government and stores that the food supply system can satisfy the extraordinary hoarding caused by the epidemic, pasta, wheat, and salt shelves have been depleted (78).
Thirdly, 54.71% of the participants specified that they go shopping less than usual, and 35.29% indicated that they buy more than usual on each trip to the grocery store (Table 4). Indeed, since shopping in person in a supermarket has a perceived risk and induces fears of being close to others, participants' buying patterns have changed. Despite many protective measures and regulations applied by supermarkets (e.g., the installation of protective barriers, frequent cleaning, provision of masks, gloves, and disinfectants, etc.), for many consumers, shopping at a grocery store poses an evident danger (79, 80). As observed in several countries, most study participants reduced the number of shopping trips and were shopping less than usual, buying more on each trip to diminish store visits and limiting their perceived risk of exposure to COVID-19 (Table 4).
Table 4.
Variable | Statement | Frequency | Percentage |
---|---|---|---|
Shopping behavior change | I go shopping less than usual | 186 | 54.71 |
I go shopping like I used to | 102 | 30 | |
I go shopping more than usual | 52 | 15.29 | |
Change in food purchase | I buy more than usual | 120 | 35.29 |
I buy as same as usual | 165 | 48.53 | |
I buy less than usual | 55 | 16.17 |
The Spearman correlation test results revealed that age significantly affected some behaviors and habits (Table 5). For example, age had a very significant effect (p < 0.05) on the number of shopping trips. Aware that the risk for severe illness with COVID-19 increases with age, older participants go shopping less than usual, buying more on each trip to limit their perceived risk of exposure to COVID-19. Also, old participants, concerned for their families and the long-term outlook, stocked more food than younger ones (Table 5). Panic buying and stockpiling were shaped by several factors, including socio-demographic factors (e.g., culture, income, gender, and personality). Household preferences and attitudes and product categories may also be differentially affected over time (81). Overall, individuals in different age groups have responded differently to the health crisis (82).
Table 5.
Gender | Age | Level of education | Household income | Profession | Family composition | Job loss or pay reduction | |
---|---|---|---|---|---|---|---|
Shopping behavior change | 0.234 | 0.000* | 1.33 | 0.420 | 0.818 | 0.19 | 0.554 |
Change in food purchase | 0.851 | 0.379 | 0.470 | 0.175 | 0.852 | 0.574 | 0.27 |
Stocking up food behavior | 0.931 | 0.018* | 0.866 | 0.328 | 0.454 | 0.191 | 0.825 |
Significant at p < 0.05.
Also, the results highlight some changes in food-related activities. Indeed, 38.53% of participants reported eating more with family members, 63.53% were cooking and making food even more often, and 59.12% spent a lot of time cooking. Furthermore, 27.36% made less easy meals (e.g., instant foods, frozen foods, etc.). Additionally, with the closure of the HORECA channel (hotels, restaurants, and catering), consumers have moved from out-of-home to home-based eating, with more cooking and baking at home. Trying to recreate the restaurant experience, many consumers rediscovered home cooking. Indeed, it is much easier to find the time for these activities and try new recipes with the confinement (83–85). Moreover, with restaurants, coffee shops, and cultural institutions closed, entertainment options became restricted, and eating with family and cooking became new entertaining activities.
Conclusion
The health and economic crisis triggered by the COVID-19 pandemic has had disorderly societal, economic, and psychological effects on food behaviors and consumption patterns, contributing to an impending global food emergency. However, impacts differ from country to country, and national data is essential for research and comprehension. In this context, this study examines the effects of the COVID-19 pandemic on food behavior in Morocco based on a cross-sectional survey involving 340 participants. The survey results show that the COVID-19 pandemic, and preventive actions taken by the Moroccan government, had affected food-related behaviors and habits. Undoubtedly, there have been apparent modifications in the way participants are shopping and interacting with food. To our knowledge, this is the first study about the perceptions of the impacts of COVID-19 on food behaviors in Morocco. Given that the COVID-19 pandemic is new and uncertain how long it will last, data and knowledge are needed to assess its effect on food consumption patterns. In addition, since there is no widespread literature on contemporary pandemics outside of SARS, the COVID-19 study will guide comprehension and even predict the potential of shock and crisis research (18). This and other future research will serve as a foundation for organizational and government readiness for future shocks and pandemic outbreaks.
The sample bias is the main limitation of this study. The survey participants were chosen at random and recruited voluntarily. As a self-administered questionnaire, it was performed by volunteers who were not compensated. Therefore, only persons driven by an interest in the topic participated in the survey (cf. self-selection of the sample). Consequently, our sample does not reflect the general population in Morocco. For example, high-educated individuals were overrepresented in our sample. In general, low-educated individuals are frequently underrepresented in surveys (86). Furthermore, online surveys tend to exclude those who are web-illiterate as well as the elderly. More specifically, in the NENA region, poor households and informal workers are the least likely to be heard through online surveys. Inadequate infrastructure, low computer literacy, and lack of money to purchase a device or internet subscription can limit their access to the Internet, resulting in less participation in online surveys (87). The limitations mentioned above are frequent in Computer Assisted Web Interviewing (CAWI), which is now usually applied in surveys (88–90). This bias limits the ability to generalize survey findings to the whole Moroccan population. However, because of the COVID-19 epidemic, online surveys can collect data from a distance, which is a distinct benefit when social distancing is necessary and face-to-face research is problematic.
So far, the scholarly literature on the impacts of the COVID-19 pandemic on food systems and consumer behavior has been geographically biased, focusing on Western and Southern Europe, North America, and China (30). In contrast, developing countries in general, and those of the NENA region in particular, such as Morocco, have been overlooked. To the best of our knowledge, this is the first study in Morocco on consumers' perceptions of the effects of COVID-19 on food behaviors. Given that the COVID-19 pandemic is new and its duration is unknown, data and knowledge are required to assess its impact on food consumption patterns. The findings of the paper confirm that the final results of COVID-19 will most likely differ from country to country, depending not only on the epidemiological situation but also, among other factors, on the baseline situation and shock resilience (91). As highlighted by El Bilali (31) “The pandemic immediate impacts vary from a country to another depending, inter alia, on the epidemiological situation, lockdown and confinement measures, pre-COVID socio-economic development level” (p. 59). This and other future researches will serve as a foundation for organizational and government readiness for future shocks and pandemic occurrences. The study's findings are also helpful for developing evidence-based policy in Morocco and the NENA area as a whole during the post-pandemic recovery period.
Finally, many researchers questioned if these changes in consumers' behaviors and diets are permanent or transient. However, since the COVID-19 infection is new and still unfolding, and the channels of influence are multiple and interconnected globally, the precise consequences in the future on food habits are unknown. Further, the pandemic is far from over, and some countries still face significant epidemics, but even those who currently control the virus fear upcoming waves, especially with the spread of more contagious variants (32). The possibility of new infections and waves could result in new lockdowns or continuity of the current tight measures over the coming months, contributing to more disruption of economic activity and food-related activities.
Data Availability Statement
The raw data supporting the conclusions of this article will be made available by the authors, without undue reservation.
Ethics Statement
The studies involving human participants were reviewed and approved by the Western Michigan University Human Subjects Institutional Review Board (HSIRB). The patients/participants provided their written informed consent to participate in this study.
Author Contributions
TB and HE: conceptualization, writing—original draft preparation, and project administration. TB, HE, and CB: methodology and formal analysis. CB: software, validation, and data curation. AA and SA: investigation. TB, HE, CB, AA, and SA: writing—review and editing. TB: funding acquisition. All authors have read and agreed to the published version of the manuscript.
Funding
The publication of this article was funded by the Qatar National Library.
Conflict of Interest
The authors declare that the research was conducted in the absence of any commercial or financial relationships that could be construed as a potential conflict of interest.
Publisher's Note
All claims expressed in this article are solely those of the authors and do not necessarily represent those of their affiliated organizations, or those of the publisher, the editors and the reviewers. Any product that may be evaluated in this article, or claim that may be made by its manufacturer, is not guaranteed or endorsed by the publisher.
Footnotes
1This survey was part of the “Consumer Agency, Food Consumption Behavior, and the Novel Coronavirus (COVID-19) Outbreak” international research project promoted by the Food Industry Research and Education Center (FIRE) at the Western Michigan University. The international research included teams from China, Germany, Netherlands, Qatar, Turkey, UK, and the USA (70). The questionnaire used in the online survey was informed by the Food Consumption Changes 2020 survey of the West Michigan University (70) and the COVID-19 Survey of the United Nations System Standing Committee on Nutrition (UNSCN) (71).
References
- 1.WHO . Naming the Coronavirus Disease (COVID-19) and the Virus That Causes It (2020). [Google Scholar]
- 2.United Nations . Shared Responsibility, Global Solidarity: Responding to the Socio-Economic Impacts of COVID-19. New York: (2020). [Google Scholar]
- 3.Leal Filho W, Brandli LL, Lange Salvia A, Rayman-Bacchus L, Platje J. COVID-19 and the UN sustainable development goals: threat to solidarity or an opportunity? Sustainability. (2020) 12:5343. 10.3390/su12135343 [DOI] [Google Scholar]
- 4.El Bilali H, Strassner C, Ben Hassen T. Sustainable agri-food systems: environment, economy, society, and policy. Sustainability. (2021) 13:6260. 10.3390/su13116260 [DOI] [Google Scholar]
- 5.Savary S, Akter S, Almekinders C, Harris J, Korsten L, Rötter R, et al. Mapping disruption and resilience mechanisms in food systems. Food Secur. (2020) 12:695–717. 10.1007/s12571-020-01093-0 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 6.Devereux S, Béné C, Hoddinott J. Conceptualising COVID-19's impacts on household food security. Food Secur. (2020) 12:769–72. 10.1007/s12571-020-01085-0 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 7.One Planet Network . SFS Programme Statement on the COVID-19 (Coronavirus) Crisis and Food Systems. One Planet Network's Sustainable Food Systems (SFS) Programme; (2020). [Google Scholar]
- 8.Pérez-Escamilla R, Cunningham K, Moran VH. COVID-19 and maternal and child food and nutrition insecurity: a complex syndemic. Matern Child Nutr. (2020) 16:e13036. 10.1111/mcn.13036 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 9.UNSCN . Food Environments in the COVID-19 Pandemic - Impacts and Positive Policy Actions to Deliver Sustainable Healthy Diets for All. (2020). Available online at: http://www.unscn.org/19?idnews=2040 (accessed October 10, 2020).
- 10.Stephens EC, Martin G, van Wijk M, Timsina J, Snow V. Editorial: impacts of COVID-19 on agricultural and food systems worldwide and on progress to the sustainable development goals. Agric Syst. (2020) 183:102873. 10.1016/j.agsy.2020.102873 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 11.Nicola M, Alsafi Z, Sohrabi C, Kerwan A, Al-Jabir A, Iosifidis C, et al. The socio-economic implications of the coronavirus pandemic (COVID-19): a review. Int J Surg. (2020) 78:185–93. 10.1016/j.ijsu.2020.04.018 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 12.Bonaccorsi G, Pierri F, Cinelli M, Flori A, Galeazzi A, Porcelli F, et al. Economic and social consequences of human mobility restrictions under COVID-19. Proc Natl Acad Sci USA. (2020) 117:15530–5. 10.1073/pnas.2007658117 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 13.Pu M, Zhong Y. Rising concerns over agricultural production as COVID-19 spreads: lessons from China. Glob Food Sec. (2020) 26:100409. 10.1016/j.gfs.2020.100409 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 14.United Nations Secretary General & United Nations Sustainable Development Group . Policy Brief: The Impact of COVID-19 on Food Security and Nutrition (2020). [Google Scholar]
- 15.Global Network Against Food Crises . 2020 Global Report on Food Crises: Joint Analysis for Better Decisions. Rome: (2020). [Google Scholar]
- 16.Ahmed S, Downs SM, Yang C, Chunlin L, ten Broek N, Ghosh-Jerath S. Rapid tool based on a food environment typology framework for evaluating effects of the COVID-19 pandemic on food system resilience. Food Secur. (2020) 12:773–8. 10.1007/s12571-020-01086-z [DOI] [PMC free article] [PubMed] [Google Scholar]
- 17.Crises Food Against Network Global . Food Crises and COVID-19: Emerging Evidence and Implications An Analysis of Acute Food Insecurity and Agri-Food Systems During COVID-19 Pandemic Technical Note (2020). [Google Scholar]
- 18.Loxton M, Truskett R, Scarf B, Sindone L, Baldry G, Zhao Y. Consumer behaviour during crises: preliminary research on how coronavirus has manifested consumer panic buying, herd mentality, changing discretionary spending and the role of the media in influencing behaviour. J Risk Financ Manag. (2020) 13:166. 10.3390/jrfm13080166 [DOI] [Google Scholar]
- 19.Galanakis C. The food systems in the era of the coronavirus (COVID-19) pandemic crisis. Foods. (2020) 5:523. 10.3390/foods9040523 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 20.Ben Hassen T, El Bilali H, Allahyari MS, Karabašević D, Radosavac A, Berjan S, et al. Food Behavior Changes during the COVID-19 Pandemic: statistical analysis of consumer survey data from Bosnia and Herzegovina. Sustainability. (2021) 13:8617. 10.3390/su13158617 [DOI] [Google Scholar]
- 21.Ben Hassen T, El Bilali H, Allahyari MS, Charbel L. Food shopping, preparation and consumption practices in times of COVID-19: case of Lebanon. J Agribus Dev Emerg Econ. (2021) 11:1854. 10.1108/JADEE-01-2021-0022 [DOI] [Google Scholar]
- 22.Giacalone D, Frøst MB, Rodríguez-Pérez C. Reported changes in dietary habits during the COVID-19 Lockdown in the Danish Population: the Danish COVIDiet Study. Front Nutr. (2020) 7:592112. 10.3389/fnut.2020.592112 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 23.Lazzerini M, Putoto G. COVID-19 in Italy: momentous decisions and many uncertainties. Lancet Glob Heal. (2020) 8:e641–2. 10.1016/S2214-109X(20)30110-8 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 24.Ben Hassen T, El Bilali H, Allahyari MS. Impact of COVID-19 on food behavior and consumption in Qatar. Sustainability. (2020) 12:6973. 10.3390/su12176973 [DOI] [Google Scholar]
- 25.Abbas AM, Fathy SK, Fawzy AT, Salem AS, Shawky MS. The mutual effects of COVID-19 and obesity. Obes Med. (2020) 19:100250. 10.1016/j.obmed.2020.100250 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 26.Heck S, Campos H, Barker I, Okello JJ, Baral A, Boy E, et al. Resilient agri-food systems for nutrition amidst COVID-19: evidence and lessons from food-based approaches to overcome micronutrient deficiency and rebuild livelihoods after crises. Food Secur. (2020) 12:823–30. 10.1007/s12571-020-01067-2 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 27.Jayawardena R, Misra A. Balanced diet is a major casualty in COVID-19. Diabetes Metab Syndr Clin Res Rev. (2020) 14:1085–6. 10.1016/j.dsx.2020.07.001 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 28.Ben Hassen T, El Bilali H, Allahyari MS, Berjan S, Fotina O. Food purchase and eating behavior during the COVID-19 pandemic: a cross-sectional survey of Russian adults. Appetite. (2021) 165:105309. 10.1016/j.appet.2021.105309 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 29.Jribi S, Ben Ismail H, Doggui D, Debbabi H. COVID-19 virus outbreak lockdown: what impacts on household food wastage? Environ Dev Sustain. (2020) 22:3939–55. 10.1007/s10668-020-00740-y [DOI] [PMC free article] [PubMed] [Google Scholar]
- 30.Colafemmina D, El Bilali H, Capone R. Impacts of COVID-19 on food security and food system sustainability. In: Book of Proceedings of the XI International Scientific Agriculture Symposium “Agrosym 2020”, Virtual conference, 8-9 October 2020 (2020). p. 925–33. [Google Scholar]
- 31.El Bilali H. COVID-19 pandemic: exploring impacts on agriculture, food systems and food security. In: Book of Abstracts of the XI International Scientific Agriculture Symposium “Agrosym 2020”, Virtual conference, 8-9 October 2020. (2020). p. 59. [Google Scholar]
- 32.WHO . WHO Coronavirus Disease (COVID-19) Dashboard. Morocco: (2021). [Google Scholar]
- 33.WHO . Morocco - The Current COVID-19 Situation (2020). [Google Scholar]
- 34.Abouzzohour Y. Coping with COVID-19's cost: the example of Morocco. Moroccan Institute of Policy Analysis. 2020. Available online at: https://mipa.institute/8305https://mipa.institute/8305 (accessed February 11, 2021). [Google Scholar]
- 35.Le Monde. Coronavirus : le Maroc ferme ses liaisons aériennes et maritimes vers l'Espagne, la France et l'Algérie (2020). [Google Scholar]
- 36.Maghreb Arabe Press . Courses Suspended in Morocco from March 16 Until Further Notice. (2020). [Google Scholar]
- 37.ONDA . Morocco Suspends all International Passenger Flights – Foreign Ministry. (2020). [Google Scholar]
- 38.Morocco World News . COVID-19: Morocco Declares State of Emergency. (2020). [Google Scholar]
- 39.Hespress . The Othmani's Government Decides to Extend the “state of emergency” Until Next. [in Arabic] (2020). [Google Scholar]
- 40.Medias24 . Voici les mesures de la première phase du déconfinement progressif (2020). [Google Scholar]
- 41.OECD . The COVID-19 Crisis in Morocco. Paris: (2020). [Google Scholar]
- 42.Haddad EA, El Aynaoui K, AitAli A, Arbouch M, Araújo IF. The Impact of COVID-19 in Morocco: Macroeconomic, Sectoral and Regional Effects (2020). [Google Scholar]
- 43.Reuters . Morocco to Create $1 Billion Fund to Counter Coronavirus Outbreak (2020). [Google Scholar]
- 44.Ait Addi R, Benksim A, Amine M, Cherkaoui M. COVID-19 Outbreak and Perspective in Morocco. Electron J Gen Med. (2020) 17:em204. 10.29333/ejgm/7857 [DOI] [Google Scholar]
- 45.Firano Z, Fatine FA. The COVID-19: macroeconomics scenarii and role of containment in Morocco. One Heal. (2020) 10:100152. 10.1016/j.onehlt.2020.100152 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 46.Ben Hassen H, Elaoud A, Ben Salah N, Masmoudi A. A SIR-Poisson Model for COVID-19: evolution and transmission inference in the maghreb central regions. Arab J Sci Eng. (2020) 23:1–10. 10.1007/s13369-020-04792-0 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 47.Ifguis O, El Ghozlani M, Ammou F, Moutcine A, Abdellah Z. Simulation of the final size of the evolution curve of coronavirus epidemic in morocco using the SIR model. J Environ Public Health. (2020) 2020:1–5. 10.1155/2020/9769267 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 48.El Kahkahi R, Moustaine M, Hafidi M, Zouhair R, Errakhi R. Coronavirus disease (COVID-19) in Morocco: situation update and proposed remedial measures. Germs. (2020) 10:129–31. 10.18683/germs.2020.1197 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 49.Bouchnita A, Jebrane A. A multi-scale model quantifies the impact of limited movement of the population and mandatory wearing of face masks in containing the COVID-19 epidemic in Morocco. Math Model Nat Phenom. (2020) 15:31. 10.1051/mmnp/2020016 [DOI] [Google Scholar]
- 50.Gayawan E, Awe OO, Oseni BM, Uzochukwu IC, Adekunle A, Samuel G, et al. The spatio-temporal epidemic dynamics of COVID-19 outbreak in Africa. Epidemiol Infect. (2020) 148:e212. 10.1017/S0950268820001983 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 51.Benkirane H, Heikel J, Laamiri FZ, Bouziani A, Lahmam H, Al-Jawaldeh A, et al. Study of clinical and biological characteristics of moroccan covid-19 patients with and without olfactory and/or gustatory dysfunction. Front Physiol. (2020) 11:595005. 10.3389/fphys.2020.595005 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 52.Djilali S, Benahmadi L, Tridane A, Niri K. Modeling the impact of unreported cases of the COVID-19 in the North African Countries. Biology. (2020) 9:373. 10.3390/biology9110373 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 53.Lhous M, Zakary O, Rachik M, Magri EM, Tridane A. Optimal containment control strategy of the second phase of the COVID-19 lockdown in Morocco. Appl Sci. (2020) 10:7559. 10.3390/app10217559 [DOI] [Google Scholar]
- 54.Marfak A, Achak D, Azizi A, Nejjari C, Aboudi K, Saad E, et al. The hidden Markov chain modelling of the COVID-19 spreading using Moroccan dataset. Data Br. (2020) 32:106067. 10.1016/j.dib.2020.106067 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 55.El Aidaoui K, Haoudar A, Khalis M, Kantri A, Ziati J, El Ghanmi A, et al. Predictors of severity in covid-19 patients in Casablanca, Morocco. Cureus. (2020) 12:e10716. 10.7759/cureus.10716 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 56.El Fakiri K, Nassih H, Ait Sab I, Draiss G, Bouskraoui M. Epidemiology and clinical features of coronavirus disease 2019 in Moroccan Children. Indian Pediatr. (2020) 57:808–10. 10.1007/s13312-020-1958-8 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 57.Serhani M, Labbardi H. Mathematical modeling of COVID-19 spreading with asymptomatic infected and interacting peoples. J Appl Math Comput. (2020) 17:1–20. 10.1007/s12190-020-01421-9 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 58.Sun H, Dickens BL, Cook AR, Clapham HE. Importations of COVID-19 into African countries and risk of onward spread. BMC Infect Dis. (2020) 20:598. 10.1186/s12879-020-05323-w [DOI] [PMC free article] [PubMed] [Google Scholar]
- 59.Volodina M. Problems of Morocco Tourism Sector: From Logistical Failures to Security Threats. ISTORIYA; (2020). p. 11. 10.18254/S207987840011072-8 [DOI] [Google Scholar]
- 60.Okebukola PA, Suwadu B, Oladejo A, Nyandwi R, Ademola I, Okorie H, et al. Delivering high school chemistry during COVID-19 lockdown: voices from Africa. J Chem Educ. (2020) 97:3285–9. 10.1021/acs.jchemed.0c00725 [DOI] [Google Scholar]
- 61.Oudrhiri MY, Bechri H, Hakkou EM, Arkha Y, El Ouahabi A. Letter to the editor: how the pandemic is changing neurosurgical education in Morocco. World Neurosurg. (2020) 140:474–5. 10.1016/j.wneu.2020.05.281 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 62.Dabachine Y, Taheri H, Biniz M, Bouikhalene B, Balouki A. Strategic design of precautionary measures for airport passengers in times of global health crisis Covid 19: parametric modelling and processing algorithms. J Air Transp Manag. (2020) 89:101917. 10.1016/j.jairtraman.2020.101917 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 63.Azizi A, Achak D, Aboudi K, Saad E, Nejjari C, Nouira Y, et al. Health-related quality of life and behavior-related lifestyle changes due to the COVID-19 home confinement: dataset from a Moroccan sample. Data Br. (2020) 32:106239. 10.1016/j.dib.2020.106239 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 64.Janati Idrissi A, Lamkaddem A, Benouajjit A, Ben El Bouaazzaoui M, El Houari F, Alami M, et al. Sleep quality and mental health in the context of COVID-19 pandemic and lockdown in Morocco. Sleep Med. (2020) 74:248–53. 10.1016/j.sleep.2020.07.045 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 65.Sfendla A, Hadrya F. Factors associated with psychological distress and physical activity during the COVID-19 pandemic. Heal Secur. (2020) 18:444–53. 10.1089/hs.2020.0062 [DOI] [PubMed] [Google Scholar]
- 66.Otmani A, Benchrif A, Tahri M, Bounakhla M, Chakir EM, El Bouch M, et al. Impact of covid-19 lockdown on PM10, SO2 and NO2 concentrations in Salé City (Morocco). Sci Total Environ. (2020) 735:139541. 10.1016/j.scitotenv.2020.139541 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 67.Cherif EK, Vodopivec M, Mejjad N, Esteves da Silva JCG, Simonovič S, Boulaassal H. COVID-19 pandemic consequences on coastal water quality using WST Sentinel-3 data: case of Tangier, Morocco. Water. (2020) 12:2638. 10.3390/w12092638 [DOI] [Google Scholar]
- 68.Haddout S, Priya KL. Unveiling the causes of reduction in troposphere NO 2 in two cities of Morocco during COVID-19 lockdown. Environ Forensics. (2020) 21:237–40. 10.1080/15275922.2020.1784313 [DOI] [Google Scholar]
- 69.Ouhsine O, Ouigmane A, Layati E, Aba B, Isaifan RJ, Berkani M. Impact of COVID-19 on the qualitative and quantitative aspect of household solid waste. Glob J Environ Sci Manag. (2020) 6:41–52. 10.1016/Fj.dsx.2020.09.034 [DOI] [Google Scholar]
- 70.Western Michigan University . WMU Researchers Study Food Consumption Behavior During COVID-19 Pandemic. (2020). Available online at: https://wmich.edu/news/2020/03/58581 (accessed July 14, 2020).
- 71.UNSCN . UNSCN COVID-19 Questionnaire. (2020). Available online at: https://www.unscn.org/en/news-events/recent-news?idnews=2045 (accessed July 24, 2020).
- 72.EY . Four Consumer Behavior Trends Emerge During the COVID-19 Pandemic, The first EY Future Consumer Index Finds. (2020). Available online at: https://www.ey.com/en_gl/news/2020/04/four-consumer-behavior-trends-emerge-during-the-covid-19-pandemic-the-first-ey-future-consumer-index-finds (accessed November 10, 2020).
- 73.Accenture . COVID-19 Increasing Consumers' Focus on “Ethical Consumption”. (2020). Available online at: https://newsroom.accenture.com/news/covid-19-increasing-consumers-focus-on-ethical-consumption-accenture-survey-finds.htm (accessed November 10, 2020).
- 74.Nachit H, Belhcen L. Digital transformation in times of COVID-19 Pandemic: the case of Morocco. SSRN Electron J. (2020). 10.2139/ssrn.3645084 [DOI] [Google Scholar]
- 75.Maroc Diplomatique . Glovo s'associe à Marjane pour lancer la livraison à domicile. (2020). Available online at: https://maroc-diplomatique.net/glovo-sassocie-a-marjane-pour-lancer-la-livraison-a-domicile/ (accessed February 7, 2021).
- 76.Tic Maroc . Confinement: Carrefour Market se lance dans la livraison à domicile. (2020). Available online at: https://www.tic-maroc.com/2020/04/confinement-carrefour-market-se-lance-dans-la-livraison-a-domicile.html (accessed February 7, 2021).
- 77.PPRO . Country Insight Morocco. (2018). Available online at: https://www.ppro.com/wp-content/uploads/2019/08/ppro_country_insight_Morocco.pdf (accessed February 11, 2021).
- 78.Middle East Online . Morocco Warns Against Sharing Fake Coronavirus Information. (2020). Available online at: https://middle-east-online.com/en/morocco-warns-against-sharing-fake-coronavirus-information (accessed February 8, 2021).
- 79.Martin-Neuninger R, Ruby MB. What does food retail research tell us about the implications of Coronavirus (COVID-19) for grocery purchasing habits? Front Psychol. (2020) 11:1900. 10.3389/fpsyg.2020.01448 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 80.McKinsey . Redefining Value and Affordability in the Retail Sector's Next Normal. (2020). Available online at: https://www.mckinsey.com/industries/retail/our-insights/redefining-value-and-affordability-in-retails-next-normal (accessed September 10, 2020).
- 81.Kirk CP, Rifkin LS. I'll trade you diamonds for toilet paper: consumer reacting, coping and adapting behaviors in the COVID-19 pandemic. J Bus Res. (2020) 117:124–31. 10.1016/j.jbusres.2020.05.028 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 82.Hesham F, Riadh H, Sihem NK. What have we learned about the effects of the COVID-19 pandemic on consumer behavior? Sustainability. (2021) 13:4304. 10.3390/su13084304 [DOI] [Google Scholar]
- 83.Oxford Business Group . On the Pandemic's Impact on Consumer Behaviour. (2020). Available online at: https://oxfordbusinessgroup.com/views/kais-marzouki-chairman-and-ceo-nestlé-philippines?utm_source=OxfordBusinessGroup&utm_medium=email&utm_campaign=11962791_Philippines-NestlePhilippinesEV&utm_content=PH-EV-Nestle-Nov&dm_i=1P7V,74EJR,1UE9ZV,ST246,1 (accessed November 16, 2020).
- 84.The Food Industry Association . U.S. Grocery Shopper Trends: The Impact of COVID-19. (2020). Available online at: http://www.fmi.org (accessed June 14, 2020).
- 85.CIHEAM . The COVID-19 Pandemic: Threats on Food Security in the Mediterranean Region. (2020). Available online at: https://www.ciheam.org/wp-content/uploads/2020/07/COVID-rapport-FINAL-1.pdf (accessed August 15, 2020).
- 86.Spitzer S. Biases in health expectancies due to educational differences in survey participation of older Europeans: It's worth weighting for. Eur J Heal Econ. (2020) 21:573–605. 10.1007/s10198-019-01152-0 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 87.Atamanov A, Hoogeveen J, Rodriguez L. Using Internet Surveys in the MENA Region During COVID-19: Will all Voices Be Heard? (2020). Available online at: https://blogs.worldbank.org/arabvoices/using-internet-surveys-mena-region-during-covid-19-will-all-voices-be-heard (accessed July 31, 2020).
- 88.Monzon A, Bayart C. Workshop synthesis: web-based surveys, new insight to address main challenges. Transp Res Procedia. (2018) 32:167–73. 10.1016/j.trpro.2018.10.030 [DOI] [Google Scholar]
- 89.Couper MP. Web Surveys. Public Opin Q. (2000) 64:464–94. 10.1086/318641 [DOI] [PubMed] [Google Scholar]
- 90.Evans JR, Mathur A. The value of online surveys: a look back and a look ahead. Int Res. (2018) 28:854–87. 10.1108/IntR-03-2018-0089 [DOI] [Google Scholar]
- 91.HLPE . Interim Issues Paper on the Impact of COVID-19 on Food Security and Nutrition (FSN) by the High-Level Panel of Experts on Food Security and nutrition (HLPE). Rome: (2020). Available online at: www.fao.org/cfs/cfs-hlpe (accessed June 4, 2020). [Google Scholar]
Associated Data
This section collects any data citations, data availability statements, or supplementary materials included in this article.
Data Availability Statement
The raw data supporting the conclusions of this article will be made available by the authors, without undue reservation.