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Title: | The seroprevalence of cytomegalovirus infection in Belgium anno 2002 and 2006: a comparative analysis with hepatitis A virus seroprevalence | Authors: | Smit, Suzanne ABRAMS, Steven Dorny, Pierre Speybroeck, Nico Devleesschauwer, Brecht Hutse, Veronik Jansens, Hilde Theeten, Heidi Beutels, Philippe HENS, Niel |
Issue Date: | 2019 | Source: | EPIDEMIOLOGY AND INFECTION, 147 (Art N° e154) | Abstract: | Cytomegalovirus (CMV) infection is endemic worldwide but its seroprevalence varies widely. The goal of this study was to estimate the age-specific seroprevalence of CMV infection in Belgium based on two cross-sectional serological datasets from 2002 and 2006. The seroprevalence was estimated relying on diagnostic test results based on cut-off values pre-specified by the manufacturers of the tests as well as relying on mixture models applied to continuous pathogen-specific immunoglobulin G antibody titre concentrations. The age-specific seroprevalence of hepatitis A virus (HAV), based on three Belgian cross-sectional serological datasets from 1993, 2002 and 2006, was used as a comparator since individuals acquire lifelong immunity upon recovery, implying an increasing seroprevalence with age. The age group weighted overall CMV seroprevalence derived from the mixture model was 32% (95% confidence interval (CI) 31–34%) in 2002 and 31% (95% CI 30–32%) in 2006. We demonstrated that CMV epidemiology differs from the immunizing infection HAV. This was the first large-scale study of CMV and HAV serial datasets in Belgium, estimating seroprevalence specified by age and birth cohort. | Notes: | Smit, GSA (reprint author), Univ Ghent, Fac Vet Med, Dept Virol Parasitol & Immunol, Merelbeke, Belgium. ITM, Dept Biomed Sci, Antwerp, Belgium. Catholic Univ Louvain, Inst Hlth & Soc IRSS, Brussels, Belgium. suzanne.smit@ugent.be | Keywords: | Cytomegalovirus; hepatitis A virus; estimating age and birth cohort-specific seroprevalence; seroincidence; mixture modelling | Document URI: | http://hdl.handle.net/1942/28359 | ISSN: | 0950-2688 | e-ISSN: | 1469-4409 | DOI: | 10.1017/s0950268819000487 | ISI #: | 000475912200085 | Rights: | © The Author(s) 2019. This is an Open Access article, distributed under the terms of the Creative Commons Attribution licence (http:// creativecommons.org/licenses/by/4.0/), which permits unrestricted re-use, distribution, and reproduction in any medium, provided the original work is properly cited | Category: | A1 | Type: | Journal Contribution | Validations: | ecoom 2020 |
Appears in Collections: | Research publications |
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