Purpose: To evaluate the serological status of hepatitis B and C and to identify the risk factors for viral B and C infection in health workers at the university hospital. Material and Method: Mono-centric cross-secti...Purpose: To evaluate the serological status of hepatitis B and C and to identify the risk factors for viral B and C infection in health workers at the university hospital. Material and Method: Mono-centric cross-sectional study carried out at Bouaké University Hospital from March 2nd to May 16th, 2016, concerning the health staff of the Bouaké University Hospital. Cross-sectional study mono-centric concerning the serological status of viral hepatitis B and C from the period from March 2nd to May 16th, 2016 of the health staff of the University Hospital of Bouaké. It has benefited from data from PNLHVi (national program against viral hepatitis) as part of its awareness campaign. The data were analyzed by SPSS software version 20.0. Results: Of the 1107 health workers, 632 had been included, representing a participation rate of 57.1%. The average age of the staff was 37.8 years with extremes ranging from 18 to 66 years. The sex ratio (H/F) was 0.8. Accidents with blood exposure were noted in 52.4% of cases. The maximum vaccine coverage was 16.1%. The prevalence of HBsAg was 8.4%. Contact with HBV was present in 3/4 of the staff. Anti HCV Ab was positive in 1.4% of the staff. Males, age over 50 and over 20 years of seniority were associated with HBV. Also, HBV infection was significantly higher in boys and girls (81.7%), nurses (78.3%) and nursing aides (73.8%), (p = 0.022). HCV infection was significantly correlated with emergency services. Conclusion: Age, gender, seniority, paramedic qualification, and high risk of exposure to body fluids were correlated with viral B infection while emergency department membership was a factor risk of HCV infection.展开更多
目的应用差分自回归移动平均模型(Autoregressive Integrated Moving Average model,ARIMA),分析和预测四川口岸出境人员中乙肝表面抗原(HBsAg)阳性疫情,为制定防治对策和措施提供科学依据。方法利用2007年—2011年四川国际旅行卫生保...目的应用差分自回归移动平均模型(Autoregressive Integrated Moving Average model,ARIMA),分析和预测四川口岸出境人员中乙肝表面抗原(HBsAg)阳性疫情,为制定防治对策和措施提供科学依据。方法利用2007年—2011年四川国际旅行卫生保健中心出境人员HBsAg逐月监测数据,使用SAS9.1统计软件,建立ARIMA模型。结果ARIMA(0,1,1()0,1,1)12模型较好地拟合了既往时间段上的阳性检出率序列,各参数估计均有统计学意义,用该模型进行回代预测,预测检出率与实际检出率吻合程度较高。结论ARIMA模型可用于四川口岸出境人员HBsAg阳性检出率的动态分析和短期预测。展开更多
本研究回顾性分析了2019—2022年在厦门国际旅行卫生保健中心接受体检的出入境人员的乙型肝炎表面抗原(Hepatitis B Surface Antigen,HBsAg)监测结果。通过构建数据库,并对数据进行统计分析,为厦门口岸制定防控措施提供科学参考。结果显...本研究回顾性分析了2019—2022年在厦门国际旅行卫生保健中心接受体检的出入境人员的乙型肝炎表面抗原(Hepatitis B Surface Antigen,HBsAg)监测结果。通过构建数据库,并对数据进行统计分析,为厦门口岸制定防控措施提供科学参考。结果显示,在19979名接受传染病监测的出入境人员中,共发现1036例HBsAg阳性,总体阳性检出率为5.18%;男性阳性率显著高于女性,且差异具有统计学意义(χ^(2)=105.73,p<0.01);不同年龄组的HBsAg阳性检出率亦存在显著差异(χ^(2)=430.88,p<0.01),主要集中在40~59岁年龄段;不同人员类别的HBsAg阳性检出率差异具有统计学意义(χ^(2)=214.97,p<0.01),其中劳务人员的检出率最高,达到17.07%。由此得出,性别、年龄、人员类别等因素与厦门口岸出入境人员HBsAg阳性检出率具有一定相关性,为此应制定更有针对性的预防措施,加强口岸乙肝防治知识的宣传和疫苗接种,以降低口岸传染病的输入和传播风险。展开更多
文摘Purpose: To evaluate the serological status of hepatitis B and C and to identify the risk factors for viral B and C infection in health workers at the university hospital. Material and Method: Mono-centric cross-sectional study carried out at Bouaké University Hospital from March 2nd to May 16th, 2016, concerning the health staff of the Bouaké University Hospital. Cross-sectional study mono-centric concerning the serological status of viral hepatitis B and C from the period from March 2nd to May 16th, 2016 of the health staff of the University Hospital of Bouaké. It has benefited from data from PNLHVi (national program against viral hepatitis) as part of its awareness campaign. The data were analyzed by SPSS software version 20.0. Results: Of the 1107 health workers, 632 had been included, representing a participation rate of 57.1%. The average age of the staff was 37.8 years with extremes ranging from 18 to 66 years. The sex ratio (H/F) was 0.8. Accidents with blood exposure were noted in 52.4% of cases. The maximum vaccine coverage was 16.1%. The prevalence of HBsAg was 8.4%. Contact with HBV was present in 3/4 of the staff. Anti HCV Ab was positive in 1.4% of the staff. Males, age over 50 and over 20 years of seniority were associated with HBV. Also, HBV infection was significantly higher in boys and girls (81.7%), nurses (78.3%) and nursing aides (73.8%), (p = 0.022). HCV infection was significantly correlated with emergency services. Conclusion: Age, gender, seniority, paramedic qualification, and high risk of exposure to body fluids were correlated with viral B infection while emergency department membership was a factor risk of HCV infection.
文摘目的应用差分自回归移动平均模型(Autoregressive Integrated Moving Average model,ARIMA),分析和预测四川口岸出境人员中乙肝表面抗原(HBsAg)阳性疫情,为制定防治对策和措施提供科学依据。方法利用2007年—2011年四川国际旅行卫生保健中心出境人员HBsAg逐月监测数据,使用SAS9.1统计软件,建立ARIMA模型。结果ARIMA(0,1,1()0,1,1)12模型较好地拟合了既往时间段上的阳性检出率序列,各参数估计均有统计学意义,用该模型进行回代预测,预测检出率与实际检出率吻合程度较高。结论ARIMA模型可用于四川口岸出境人员HBsAg阳性检出率的动态分析和短期预测。
文摘本研究回顾性分析了2019—2022年在厦门国际旅行卫生保健中心接受体检的出入境人员的乙型肝炎表面抗原(Hepatitis B Surface Antigen,HBsAg)监测结果。通过构建数据库,并对数据进行统计分析,为厦门口岸制定防控措施提供科学参考。结果显示,在19979名接受传染病监测的出入境人员中,共发现1036例HBsAg阳性,总体阳性检出率为5.18%;男性阳性率显著高于女性,且差异具有统计学意义(χ^(2)=105.73,p<0.01);不同年龄组的HBsAg阳性检出率亦存在显著差异(χ^(2)=430.88,p<0.01),主要集中在40~59岁年龄段;不同人员类别的HBsAg阳性检出率差异具有统计学意义(χ^(2)=214.97,p<0.01),其中劳务人员的检出率最高,达到17.07%。由此得出,性别、年龄、人员类别等因素与厦门口岸出入境人员HBsAg阳性检出率具有一定相关性,为此应制定更有针对性的预防措施,加强口岸乙肝防治知识的宣传和疫苗接种,以降低口岸传染病的输入和传播风险。