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南通口岸国际航行船舶医学媒介生物传入风险的影响因素分析
引用本文:李林中,张明江,张珊珊,李峰,张家祝,丁锁顺,顾晶. 南通口岸国际航行船舶医学媒介生物传入风险的影响因素分析[J]. 中国国境卫生检疫杂志, 2012, 0(5): 344-348
作者姓名:李林中  张明江  张珊珊  李峰  张家祝  丁锁顺  顾晶
作者单位:南通出入境检验检疫局港办检疫科,江苏南通226007
摘    要:目的探索国际航行船舶外来医学媒介生物传入风险的影响因素。方法采用非匹配的病例对照研究方法,对2010-2011两年内南通口岸的1187艘国际航行船舶截获的医学媒介生物情况进行调查,以医学媒介生物超标的船舶作为阳性组,未超标的为阴性对照组,进行logistic回归分析筛选出与医学媒介生物检出超标相关的风险因素。结果夏季到达的风险高于冬季(OR=11.413);曾检出医学媒介生物超标的船舶风险很高(OR=5.358);发航港来自欧美地区的船舶风险较低(OR=0.144,P<0.05)。多数船员是泰国和伊朗、孟加拉的风险较高,分别是中国船员的4.076和18.122倍。结论季节、曾检出医学媒介生物超标、发航港情况、多数船员国籍、载货种类有明显的风险指示价值,船龄、总吨位、免控证书等指标有一定的参考价值。

关 键 词:国际航行船舶  医学媒介生物  风险  logistic回归

Analysis on risk factors of carrying medical vectors on entry international ships at Nantong port
LI Lin-zhong,ZHANG Ming-jiang,ZHANG Shan-shan,LI Feng,ZHANG Jia-zhu,DING Suo-shun,GU Jing. Analysis on risk factors of carrying medical vectors on entry international ships at Nantong port[J]. Chinese Journal of Frontier Health and Quarantine, 2012, 0(5): 344-348
Authors:LI Lin-zhong  ZHANG Ming-jiang  ZHANG Shan-shan  LI Feng  ZHANG Jia-zhu  DING Suo-shun  GU Jing
Affiliation:Nantong Entry-Exit Inspection and Quarantine Bureau,Nantong,Jiangsu 226007,China
Abstract:Objective To investigate the major risk factors of medical vectors on entry international navigation ships at Nantong port.Methods Case-control study was used in the data collection from Jan.2010 to Dec.2011.Univariate and multivariate logistic regression were performed to indentify risk factors.Results Multivariate analysis indicated arrival time(OR_(sum vs.win) = 11.413),positive record(OR = 5.538),port of origin(OR_(west) = 0.144),nationality of most crew(OR_(thai)= 4.076, OR_(iran bad)= 18.122) were independent influence factors of carrying medical vectors.Conclusion Through influence factor analysis,the arrival time,positive record,port of origin,nationality of most crew,cargo types have obvious risk indication value,and ship s age,tonnage,sanitation control exemption certificate have some indication value.
Keywords:International navigation ship  Medical vectors  Risk  Logistic regression
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