5 research outputs found

    Seroepidemiological Study on Hepatitis E Virus Infection in Rural General Population in Jiangsu Province

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    目的调查江苏省部分农村地区一般人群戊型肝炎的感染情况以及流行特征,为防治工作提供依据。方法利用分层整群抽样的方法,按不同的地区抽取若干个行政村的4139名自然人群,采用酶联免疫吸附试验(ELISA)检测该人群中HEV-IgG,HEV-IgM抗体水平。结果在调查的4139名自然人群中,抗HEV-IgG和抗HEV-IgM平均阳性率分别为52.0%和2.5%,男性和女性间的抗HEV-IgG和抗HEV-IgM阳性率差异有统计学意义,男性抗HEV-IgG阳性率(56.1%)高于女性(49.0%),而女性抗HEV-IgM阳性率(3.0%)高于男性(1.8%);同时戊肝感染可见于各个年龄段,但流行分布不平衡,差异有统计学意义,随着年龄的增长感染率呈上升的趋势。结论江苏省部分农村地区人群戊型肝炎病毒感染率明显高于国内已报道其他地区,各个年龄组均有感染。为降低感染率,探讨针对性的防治措施对策已刻不容缓。Objective To investigate the seroprevalence,epidemiological characteristics of hepatitis E virus(HEV) infection in an rural area of Jiangsu province. Methods Stratified-cluster sampling was carried out in different areas,4 139 persons were surveyed.Anti-HEV IgG and IgM were tested by commercial ELISA kits. Results The total anti-HEV IgG and IgM prevalence were 52.0% and 2.5% respectively in the general population. There were statistically significant differences in the seropositivity rates of anti-HEV IgG and IgM between male and female.The seropositivity rate of anti-HEV IgG in male(56.1%)is higher than that in female(49.0%),while the seropositivity rates of anti-HEV IgM in female (3.0%)is higher than that in male(1.8%). The antibodies increased with advancing age. Conclusion The prevalence of hepatitis E virus infection in those districts was higher than any other reported districts in China. HEV infection was found in every age, and increased with age, so there was no time to delay to take measures against prevalence of hepatitis E virus infection

    江苏省农村地区自然人群戊型肝炎感染状况的研究

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    目的:了解江苏省农村地区戊型肝炎病毒(HEV)感染的特征及相关影响因素。方法:在江苏省部分农村地区,以整群抽样的方式进行戊型肝炎感染的血清学横断面调查以及1年的随访性研究,并对分离到的毒株进行基因分型,同时调查感染的相关影响因素。结果:横断面调查的4139例自然人群中,抗-HEV-IgG阳性率为52.0%,男性阳性率显著高于女性,各年龄组阳性率随年龄升高而增加。经1年的随访,抗-HEV-IgG年阳转率为11.6%,20岁以上年龄组的阳转率显著高于20岁以下年龄组;抗-HEV-IgG年阴转率为5.8%,0~9岁以下年龄组的阴转率显著高于10岁以上年龄组。从亚临床感染者分离到的5份HEV毒株中,基因Ⅰ型3株、基因Ⅵ型2株。相关影响因素分析显示,男性、年龄增加和接触生猪是感染的危险因素。结论:江苏省农村地区的HEV感染程度较高,亚临床感染的HEV基因分型为Ⅰ型和Ⅳ型;除性别、年龄外,接触生猪是感染的重要影响因素

    JUNO Sensitivity on Proton Decay pνˉK+p\to \bar\nu K^+ Searches

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    The Jiangmen Underground Neutrino Observatory (JUNO) is a large liquid scintillator detector designed to explore many topics in fundamental physics. In this paper, the potential on searching for proton decay in pνˉK+p\to \bar\nu K^+ mode with JUNO is investigated.The kaon and its decay particles feature a clear three-fold coincidence signature that results in a high efficiency for identification. Moreover, the excellent energy resolution of JUNO permits to suppress the sizable background caused by other delayed signals. Based on these advantages, the detection efficiency for the proton decay via pνˉK+p\to \bar\nu K^+ is 36.9% with a background level of 0.2 events after 10 years of data taking. The estimated sensitivity based on 200 kton-years exposure is 9.6×10339.6 \times 10^{33} years, competitive with the current best limits on the proton lifetime in this channel

    JUNO sensitivity on proton decay pνK+p → νK^{+} searches

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    JUNO sensitivity on proton decay p → ν K + searches*

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    The Jiangmen Underground Neutrino Observatory (JUNO) is a large liquid scintillator detector designed to explore many topics in fundamental physics. In this study, the potential of searching for proton decay in the pνˉK+ p\to \bar{\nu} K^+ mode with JUNO is investigated. The kaon and its decay particles feature a clear three-fold coincidence signature that results in a high efficiency for identification. Moreover, the excellent energy resolution of JUNO permits suppression of the sizable background caused by other delayed signals. Based on these advantages, the detection efficiency for the proton decay via pνˉK+ p\to \bar{\nu} K^+ is 36.9% ± 4.9% with a background level of 0.2±0.05(syst)±0.2\pm 0.05({\rm syst})\pm 0.2(stat) 0.2({\rm stat}) events after 10 years of data collection. The estimated sensitivity based on 200 kton-years of exposure is 9.6×1033 9.6 \times 10^{33} years, which is competitive with the current best limits on the proton lifetime in this channel and complements the use of different detection technologies
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