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Cold Chain Food and COVID-19 Transmission Risk: From the Perspective of Consumption and Trade
Since the outbreak of the coronavirus disease 2019 (COVID-19), political and academic circles have focused significant attention on stopping the chain of COVID-19 transmission. In particular outbreaks related to cold chain food (CCF) have been reported, and there remains a possibility that CCF can b...
Autores principales: | , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2022
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8998142/ https://www.ncbi.nlm.nih.gov/pubmed/35406995 http://dx.doi.org/10.3390/foods11070908 |
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author | Zhang, Chao Yang, Yanzhao Feng, Zhiming Xiao, Chiwei Liu, Ying Song, Xinzhe Lang, Tingting |
author_facet | Zhang, Chao Yang, Yanzhao Feng, Zhiming Xiao, Chiwei Liu, Ying Song, Xinzhe Lang, Tingting |
author_sort | Zhang, Chao |
collection | PubMed |
description | Since the outbreak of the coronavirus disease 2019 (COVID-19), political and academic circles have focused significant attention on stopping the chain of COVID-19 transmission. In particular outbreaks related to cold chain food (CCF) have been reported, and there remains a possibility that CCF can be a carrier. Based on CCF consumption and trade matrix data, here, the “source” of COVID-19 transmission through CCF was analyzed using a complex network analysis method, informing the construction of a risk assessment model reflecting internal and external transmission dynamics. The model included the COVID-19 risk index, CCF consumption level, urbanization level, CCF trade quantity, and others. The risk level of COVID-19 transmission by CCF and the dominant risk types were analyzed at national and global scales as well as at the community level. The results were as follows. (1) The global CCF trade network is typically dominated by six core countries in six main communities, such as Indonesia, Argentina, Ukraine, Netherlands, and the USA. These locations are one of the highest sources of risk for COVID-19 transmission. (2) The risk of COVID-19 transmission by CCF in specific trade communities is higher than the global average, with the Netherlands–Germany community being at the highest level. There are eight European countries (i.e., Netherlands, Germany, Belgium, France, Spain, Britain, Italy, and Poland) and three American countries (namely the USA, Mexico, and Brazil) facing a very high level of COVID-19 transmission risk by CCF. (3) Of the countries, 62% are dominated by internal diffusion and 23% by external input risk. The countries with high comprehensive transmission risk mainly experience risks from external inputs. This study provides methods for tracing the source of virus transmission and provides a policy reference for preventing the chain of COVID-19 transmission by CCF and maintaining the security of the global food supply chain. |
format | Online Article Text |
id | pubmed-8998142 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | MDPI |
record_format | MEDLINE/PubMed |
spelling | pubmed-89981422022-04-12 Cold Chain Food and COVID-19 Transmission Risk: From the Perspective of Consumption and Trade Zhang, Chao Yang, Yanzhao Feng, Zhiming Xiao, Chiwei Liu, Ying Song, Xinzhe Lang, Tingting Foods Article Since the outbreak of the coronavirus disease 2019 (COVID-19), political and academic circles have focused significant attention on stopping the chain of COVID-19 transmission. In particular outbreaks related to cold chain food (CCF) have been reported, and there remains a possibility that CCF can be a carrier. Based on CCF consumption and trade matrix data, here, the “source” of COVID-19 transmission through CCF was analyzed using a complex network analysis method, informing the construction of a risk assessment model reflecting internal and external transmission dynamics. The model included the COVID-19 risk index, CCF consumption level, urbanization level, CCF trade quantity, and others. The risk level of COVID-19 transmission by CCF and the dominant risk types were analyzed at national and global scales as well as at the community level. The results were as follows. (1) The global CCF trade network is typically dominated by six core countries in six main communities, such as Indonesia, Argentina, Ukraine, Netherlands, and the USA. These locations are one of the highest sources of risk for COVID-19 transmission. (2) The risk of COVID-19 transmission by CCF in specific trade communities is higher than the global average, with the Netherlands–Germany community being at the highest level. There are eight European countries (i.e., Netherlands, Germany, Belgium, France, Spain, Britain, Italy, and Poland) and three American countries (namely the USA, Mexico, and Brazil) facing a very high level of COVID-19 transmission risk by CCF. (3) Of the countries, 62% are dominated by internal diffusion and 23% by external input risk. The countries with high comprehensive transmission risk mainly experience risks from external inputs. This study provides methods for tracing the source of virus transmission and provides a policy reference for preventing the chain of COVID-19 transmission by CCF and maintaining the security of the global food supply chain. MDPI 2022-03-22 /pmc/articles/PMC8998142/ /pubmed/35406995 http://dx.doi.org/10.3390/foods11070908 Text en © 2022 by the authors. https://creativecommons.org/licenses/by/4.0/Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/). |
spellingShingle | Article Zhang, Chao Yang, Yanzhao Feng, Zhiming Xiao, Chiwei Liu, Ying Song, Xinzhe Lang, Tingting Cold Chain Food and COVID-19 Transmission Risk: From the Perspective of Consumption and Trade |
title | Cold Chain Food and COVID-19 Transmission Risk: From the Perspective of Consumption and Trade |
title_full | Cold Chain Food and COVID-19 Transmission Risk: From the Perspective of Consumption and Trade |
title_fullStr | Cold Chain Food and COVID-19 Transmission Risk: From the Perspective of Consumption and Trade |
title_full_unstemmed | Cold Chain Food and COVID-19 Transmission Risk: From the Perspective of Consumption and Trade |
title_short | Cold Chain Food and COVID-19 Transmission Risk: From the Perspective of Consumption and Trade |
title_sort | cold chain food and covid-19 transmission risk: from the perspective of consumption and trade |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8998142/ https://www.ncbi.nlm.nih.gov/pubmed/35406995 http://dx.doi.org/10.3390/foods11070908 |
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