Study on Customs access risk of imported cold chain aquatic products based on COVID-19 epidemic
Objective Based on the perspective of COVID-19,to examine the occurrence of COVID-19 in cold chain aquatic products through data analysis,identify potential risk factors,and offer recommendations for the importation and customs clearance processes of these goods.Methods The notifications regarding emergency preventive measures for imported cold chain food issued by the General Administration of Customs from July 2020 to June 2022,had been collected.A database was established,containing the key variable indicators of the aquatic product samples within cold chain food sector,including information such as original country(region),product name and type.Subse-quently,an analysis was conducted on the data pertaining to the original country(region),product type and frequency.Results According to statistical data covering the period from July 2020 to June 2022,the General Administration of Customs reported a total of 188 notifications regarding emergency preventive measures for imported aquatic prod-ucts in cold chain food sector.These notifications corresponded to 272 batches of products,involving 397 enterprises across 34 source countries and regions,including Russia(23 notifications),India(18 notifications)and Vietnam(17 notifications).It was observed that 78.28％companies experienced only one instance of SARS-CoV-2 detection posi-tive.Notably,Russia,which had 23 notifications accounted for the highest number of cases among the source coun-tries,while frozen South American white shrimp,which had 32 notifications exhibited the highest frequency of detec-tion positive.Conclusion The detection and the variety of food involved were mainly caused by the characteristics of cold chain aquatic products in terms of cold chain storage temperature,circulation time and storage resistance.Enhancing international collaboration and harmonizing standards could address these problems.
COVID-19 epidemicCold chain foodAquatic productInspection and quarantine
NETL
NSTL
万方数据
