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Epidemiologic estimates of hepatitis E virus infection in European countries
被引:16
|作者:
Horn, Johannes
[1
,2
,3
]
Hoodgarzadeh, Mahrrouz
[2
,3
]
Klett-Tammen, Carolina J.
[2
]
Mikolajczyk, Rafael T.
[1
,2
,4
]
Krause, Gerard
[2
,5
,6
]
Ott, Joerdis J.
[2
,5
]
机构:
[1] Martin Luther Univ Halle Wittenberg, Med Fac, IMEBI, Magdeburger Str 8, D-06110 Halle An Der Saale, Germany
[2] Helmholtz Ctr Infect Res HZI, Dept Epidemiol, Inhoffenstr 7, D-38124 Braunschweig, Germany
[3] PhD Programme Epidemiol, Braunschweig, Germany
[4] German Ctr Infect Res DZIF, Hannover Braunschweig Site, Braunschweig, Germany
[5] Hannover Med Sch, Carl Neuberg Str 1, D-30625 Hannover, Germany
[6] German Ctr Infect Res DZIF, TI Epidemiol, Braunschweig, Germany
关键词:
Hepatitis E Virus;
HEV infection marker;
HEV positivity;
Epidemiology;
Europe;
EU/EEA;
Sero-prevalence;
HEV SEROPREVALENCE RATES;
PERFORMANCE-CHARACTERISTICS;
IGG SEROPREVALENCE;
GLOBAL BURDEN;
BLOOD-DONORS;
ASSAYS;
PREVALENCE;
OUTBREAK;
ANTIBODIES;
EXPOSURE;
D O I:
10.1016/j.jinf.2018.09.012
中图分类号:
R51 [传染病];
学科分类号:
100401 ;
摘要:
Objectives: Reliable epidemiologic estimates of Hepatitis E Virus (HEV) infection and evidence on factors determining country-differences are sparse. We systematically assessed and extracted research data on three HEV infection markers and identified factors influencing HEV-positivity to generated adjusted EU/EEA country-specific estimates by a meta-analysis. Methods: Reports on HEV published 2005-2015 for EU/EEA countries were obtained from PubMed, Embase, Scopus, and Cochrane databases. Utilizing data on anti-HEV IgG, IgM and HEV-RNA we estimated HEV sero-prevalence, recent and acute HEV infections. Respective magnitude of factors influencing HEV-positivity was characterized using deviance. Country-specific estimates were generated by multivariable logistic regression. Results: Of 4980 records, 165 covering 18 EU/EEA countries met inclusion criteria. The majority of collected data were published for Germany, France, United Kingdom, The Netherlands, and Spain. Most influential factor for anti-HEV IgG was the assay used (42% of total deviance); IgM and HEV-RNA were predominately determined by studied population (34%, 74%). Adjusted country-specific estimates for antiHEV IgG ranged from 1.82%-17.06%, IgM 0.14%-6.54%, and HEV-RNA 0.00%-0.10%. No general geographical pattern of HEV-positivity was visible. Conclusions: Our analysis revealed a high heterogeneity regarding data availability and HEV-seropositivity across EU/EEA countries. Determinants of HEV-estimates including assay are to be considered when interpreting HEV-epidemiology and its burden. (C) 2018 The British Infection Association. Published by Elsevier Ltd. All rights reserved.
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页码:544 / 552
页数:9
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