Research on the Prevention and Control Capacity of Imported Infectious Diseases at Chinese Ports Based on Fuzzy Comprehensive Evaluation

This paper took the prevention and control of imported infectious diseases spreading from ports to the domestic territory as the research scenario, and employed fuzzy comprehensive evaluation to analyze port infectious disease prevention and control capabilities. Based on the characteristics of port infectious disease prevention and control and relevant policy requirements, an evaluation system was constructed, comprising three primary indicators—overseas prevention and control in advance, port site prevention and control, and domestic collaborative prevention and control, along with eight secondary indicators and 25 tertiary indicators. The prevention and control ability of imported infectious diseases at ports was quantitatively evaluated by using analytic hierarchy process and fuzzy evaluation method. Taking Port J of Jiangsu Province in China as the empirical research subject, the rationality and operability of the evaluation method were verified. The findings indicated that factors such as professional personnel teams, local government investment, policies and laws, and communication and collaboration have significant impacts. The fuzzy evaluation of J Port has the highest membership degree in the "good" level, with an overall score of 76.51. The ability to prevent and control imported infectious diseases of J Port is at a level of "good" to "average". Based on these findings, relevant policy recommendations were proposed.

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Publication Details

Journal
Journal of Public Policy and Administration
Published
2025-12-29
DOI
https://doi.org/10.11648/j.jppa.20250904.17
Primary Topic
Physical Activity and Education Research
Type
article
Field-Weighted Citation Impact
0.00

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article

Research on the Prevention and Control Capacity of Imported Infectious Diseases at Chinese Ports Based on Fuzzy Comprehensive Evaluation

Rong Xu, Kangni Xu, Jia Li, Lu Cai et al.
Journal of Public Policy and Administration
Physical Activity and Education Research
article

Research on the Prevention and Control Capacity of Imported Infectious Diseases at Chinese Ports Based on Fuzzy Comprehensive Evaluation

Rong Xu, Kangni Xu, Jia Li, Lu Cai, Yunhui DAI, Guotao Chen, Feng Yao
article en

Abstract

This paper took the prevention and control of imported infectious diseases spreading from ports to the domestic territory as the research scenario, and employed fuzzy comprehensive evaluation to analyze port infectious disease prevention and control capabilities. Based on the characteristics of port infectious disease prevention and control and relevant policy requirements, an evaluation system was constructed, comprising three primary indicators—overseas prevention and control in advance, port site prevention and control, and domestic collaborative prevention and control, along with eight secondary indicators and 25 tertiary indicators. The prevention and control ability of imported infectious diseases at ports was quantitatively evaluated by using analytic hierarchy process and fuzzy evaluation method. Taking Port J of Jiangsu Province in China as the empirical research subject, the rationality and operability of the evaluation method were verified. The findings indicated that factors such as professional personnel teams, local government investment, policies and laws, and communication and collaboration have significant impacts. The fuzzy evaluation of J Port has the highest membership degree in the "good" level, with an overall score of 76.51. The ability to prevent and control imported infectious diseases of J Port is at a level of "good" to "average". Based on these findings, relevant policy recommendations were proposed.

Journal of Public Policy and AdministrationVol. 9(4)
Jiangsu University (CN), Jiangsu University of Science and Technology (CN), Shanghai Customs College (CN)
China Postdoctoral Science Foundation
Partnerships for the goals
Openalex Percentile: Top 35%
Physical Activity and Education Research
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