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2017—2023年青岛口岸出入境人员传染病监测情况分析

Analysis of Infectious Disease Surveillance among inbound-outbound Personnel at Qingdao Port During 2017-2023
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摘要 本研究对青岛口岸2017—2023年125924名出入境人员传染病检出情况进行统计分析,了解青岛口岸出入境人员传染病流行情况,为有效开展口岸传染病监测和防控工作提供数据支持和科学依据。2017—2023年,青岛口岸共检出各类传染病274例,检出率2.18‰。其中,HIV阳性检出率为0.15‰,梅毒检出率为0.21‰,乙型病毒性肝炎检出率为1.31‰;丙型病毒性肝炎检出率为0.50‰。传染病检出人员类型中,出境劳务人员和船员是传染病高检出人群,入境人员中的劳务人员和留学人员感染传染病比例也较高,提示上述人群为青岛口岸传染病监测、健康干预的重点人群。传染病检出的年龄分布显示,中青年是传染病易感年龄段,因此应对该年龄段人群加强健康宣传教育。 This study analyzed the infectious diseases detection of 125924 inbound and outbound travelers at Qingdao Port from 2017 to 2023,aiming to understand the prevalence of infection diseases among inbound and outbound travelers at Qingdao Port and provide the data support and the scientific basis for the effective infectious disease monitoring and control at the port.From 2017 to 2023,a total of 274 cases of various infectious diseases were detected at Qingdao Port,with a detection rate of 2.18‰.Among them,the detection rate of HIV is 0.15‰,the detection rate of syphilis is 0.21‰,the detection rate of hepatitis B is 1.31‰,and the detection rate of hepatitis C is 0.50‰.Among the types of personnel detected for infectious diseases,outbound workers and sailors are the highrisk population for infectious diseases.The detection rate of the inbound workers and international students is also high,indicating that these groups are the key groups for infectious disease monitoring and health intervention at Qingdao Port.The age distribution of infectious disease detection shows that middle-aged and young adults are susceptible to infectious diseases,,highlighting the need to strengthen health education and promotion among this age group.
作者 马赛 胡薇 李西峰 冯茹荔 王苑 冯小航 MA Sai;HU Wei;LI Xi-Feng;FENG Ru-Li;WANG Yuan;FENG Xiao-Hang(Qingdao Customs,Qingdao 266071;Qingdao Shinan District Health Bureau)
出处 《中国口岸科学技术》 2024年第3期17-24,共8页 China Port Science and Technology
基金 海关总署科研项目(2022HK017)。
关键词 青岛口岸 出入境人员 传染病监测 分析 Qingdao Port inbound and outbound travelers infectious disease monitoring analysis
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