scholarly journals Evidence of Foodborne Transmission of the Coronavirus (COVID-19) through the Animal Products Food Supply Chain

2021 ◽  
Vol 55 (5) ◽  
pp. 2713-2716 ◽  
Author(s):  
Ligang Hu ◽  
Jie Gao ◽  
Linlin Yao ◽  
Li Zeng ◽  
Qian Liu ◽  
...  
2021 ◽  
Vol 5 ◽  
Author(s):  
Shalika Vyas ◽  
Nitya Chanana ◽  
Madhur Chanana ◽  
Pramod K. Aggarwal

COVID-19 pandemic has resulted in widespread global disruptions. While much is being discussed about the health and economic impacts, there has been a limited focus on the immediate food sector shocks and their related social implications in developing countries, especially when the farmer surveys cannot be conducted due to mobility restrictions in many countries. To overcome these challenges, this study uses news mining and content analysis of media articles published from February to April 2020, to assess the early impacts of the COVID-19 pandemic on the food supply chain and farm distress in India. It also presents the media perception of the impact of the pandemic and resulting policy measures using sentiment analysis, in addition to the cross-tabulation of results that show differential impacts across food supply chain components among different commodity groups and regions. The results show wide-scale impacts across different components of the food supply chain ranging from crop harvesting and processing, distribution and logistics to disruptions across food markets, as represented by 22, 11 and 30% of total articles, respectively. The impacts are also differentiated by commodity groups, with animal products having more trade and demand-side issues, logistic bottlenecks in fruits and vegetables and crops showing problems in labor availability and harvesting. Sentiment analysis of news items shows a spike in the negative sentiment immediately post the national lockdown, with relatively less negativity in subsequent weeks due to large-scale policy and community action. Sentiment classification along different indicators shows the highest negative sentiment for animal products (85%) in commodity groups, western states of India (78%) among different regions, and food supply (85%) and markets (83%) among supply chain components. Further, extreme weather analysis (using excess rainfall events) shows that farmers faced compound risks from the COVID-19 pandemic and extreme weather events in many parts of the country. The results highlight the importance of building resilient food systems, especially when the biotic and abiotic shocks are projected to increase globally due to many drivers including biodiversity loss and climate change.


2012 ◽  
Vol 3 (1) ◽  
pp. 45-47
Author(s):  
N.Arunfred N.Arunfred ◽  
◽  
Dr.D.Kinslin Dr.D.Kinslin

New Medit ◽  
2020 ◽  
Vol 19 (1) ◽  
pp. 19-34 ◽  
Author(s):  
Marinos Markou ◽  
Andreas Stylianou ◽  
Marianthi Giannakopoulou ◽  
Georgios Adamides

Unfair Trading Practices (UTPs) between businesses in the food supply chain have a significant impact on the various stakeholders involved, and on the environment. So far, no attempt has been made at the Member State level for the identification of UTPs in the food supply chain and their impact on the relevant stakeholders. This study drew on this gap and attempted to identify the UTPs that exist in the Cypriot food supply chain, assess their impact on the involved stakeholders and provide guidelines that will assist the transposition of EU relevant Directive to the national law. To achieve this goal, the study was based on a quantitative survey of a representative sample of businesses using a specific questionnaire. The results showed that particular UTPs do appear in the food supply chain with a different frequency, while the majority of businesses have been victims of UTPs in the last five years. Notably, the estimated cost of UTPs as a percentage of the business annual turnover is considered important ranging from 5.7% for retailers to 31.9% for farmers. Thus, most participants agree that UTPs in the agricultural food sector should be regulated by national legislation. We argue that the national legislation for UTPs should be a mix of policies that integrate private, administrative and judicial methods of monitoring and enforcement. Policy and decision makers should seek to reinforce the role and the bargaining power of small businesses in the food supply chain. This might be accomplished through the development of efficient producers’ organizations, short food supply chains, interbranch organizations and strategic partnerships.


Author(s):  
Zhaohui Wu ◽  
Madeleine Elinor Pullman

Food supply chain management is becoming a critical management and public policy agenda. Climate change, growing demand, and shifting patterns of food production, delivery, and consumption have elicited a series of new challenges, such as food security, safety, and system resiliency. This chapter first introduces the typical players in a food supply chain and examines the global food system characterized by consolidation and industrialization. It then discusses some critical topics of the sustainable food supply chain that aim to address these challenges. These topics include traceability, transparency, certification and standards, and alternatives to industrialized food systems, including cooperatives, community-supported agriculture, and roles of small and medium-sized growers in regenerative agriculture. The chapter ends with a discussion of several important emerging logistics management topics, including last-mile delivery, new technology, and cold chain management.


Electronics ◽  
2021 ◽  
Vol 10 (11) ◽  
pp. 1223
Author(s):  
Ilianna Kollia ◽  
Jack Stevenson ◽  
Stefanos Kollias

This paper provides a review of an emerging field in the food processing sector, referring to efficient and safe food supply chains, ’from farm to fork’, as enabled by Artificial Intelligence (AI). The field is of great significance from economic, food safety and public health points of views. The paper focuses on effective food production, food maintenance energy management and food retail packaging labeling control, using recent advances in machine learning. Appropriate deep neural architectures are adopted and used for this purpose, including Fully Convolutional Networks, Long Short-Term Memories and Recurrent Neural Networks, Auto-Encoders and Attention mechanisms, Latent Variable extraction and clustering, as well as Domain Adaptation. Three experimental studies are presented, illustrating the ability of these AI methodologies to produce state-of-the-art performance in the whole food supply chain. In particular, these concern: (i) predicting plant growth and tomato yield in greenhouses, thus matching food production to market needs and reducing food waste or food unavailability; (ii) optimizing energy consumption across large networks of food retail refrigeration systems, through optimal selection of systems that can be shut-down and through prediction of the respective food de-freezing times, during peaks of power demand load; (iii) optical recognition and verification of food consumption expiry date in automatic inspection of retail packaged food, thus ensuring safety of food and people’s health.


Author(s):  
Ganjar Alfian ◽  
Muhammad Syafrudin ◽  
Norma Latif Fitriyani ◽  
Jongtae Rhee ◽  
Muhammad Rifqi Ma'arif ◽  
...  

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