J. Ederth, C. Jern, H. Norder, L. Magnius, E. Alm, Björg Kleverman Rognsvåg, C. Sundin, M. Brytting, J. Esbjörnsson, M. Mild
{"title":"瑞典一个县8年来(2002-2009年)丙型肝炎病毒的分子特征揭示了不同的传播模式","authors":"J. Ederth, C. Jern, H. Norder, L. Magnius, E. Alm, Björg Kleverman Rognsvåg, C. Sundin, M. Brytting, J. Esbjörnsson, M. Mild","doi":"10.3402/iee.v6.30670","DOIUrl":null,"url":null,"abstract":"Background Hepatitis C virus (HCV) is a major public health concern and data on its molecular epidemiology in Sweden is scarce. We carried out an 8-year population-based study of newly diagnosed HCV cases in one of Sweden's centrally situated counties, Södermanland (D-county). The aim was to characterize the HCV strains circulating, analyze their genetic relatedness to detect networks, and in combination with demographic data learn more about transmission. Methods Molecular analyses of serum samples from 91% (N=557) of all newly notified cases in D-county, 2002–2009, were performed. Phylogenetic analysis (NS5B gene, 300 bp) was linked to demographic data from the national surveillance database, SmiNet, to characterize D-county transmission clusters. The linear-by-linear association test (LBL) was used to analyze trends over time. Results The most prevalent subtypes were 1a (38%) and 3a (34%). Subtype 1a was most prevalent among cases transmitted via sexual contact, via contaminated blood, or blood products, while subtype 3a was most prevalent among people who inject drugs (PWIDs). Phylogenetic analysis revealed that the subtype 3a sequences formed more and larger transmission clusters (50% of the sequences clustered), while the 1a sequences formed smaller clusters (19% of the sequences clustered), possibly suggesting different epidemics. Conclusion We found different transmission patterns in D-county which may, from a public health perspective, have implications for how to control virus infections by targeted interventions.","PeriodicalId":37446,"journal":{"name":"Infection Ecology and Epidemiology","volume":"6 1","pages":""},"PeriodicalIF":0.0000,"publicationDate":"2016-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://sci-hub-pdf.com/10.3402/iee.v6.30670","citationCount":"4","resultStr":"{\"title\":\"Molecular characterization of HCV in a Swedish county over 8 years (2002–2009) reveals distinct transmission patterns\",\"authors\":\"J. Ederth, C. Jern, H. Norder, L. Magnius, E. Alm, Björg Kleverman Rognsvåg, C. Sundin, M. Brytting, J. Esbjörnsson, M. Mild\",\"doi\":\"10.3402/iee.v6.30670\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Background Hepatitis C virus (HCV) is a major public health concern and data on its molecular epidemiology in Sweden is scarce. We carried out an 8-year population-based study of newly diagnosed HCV cases in one of Sweden's centrally situated counties, Södermanland (D-county). The aim was to characterize the HCV strains circulating, analyze their genetic relatedness to detect networks, and in combination with demographic data learn more about transmission. Methods Molecular analyses of serum samples from 91% (N=557) of all newly notified cases in D-county, 2002–2009, were performed. Phylogenetic analysis (NS5B gene, 300 bp) was linked to demographic data from the national surveillance database, SmiNet, to characterize D-county transmission clusters. The linear-by-linear association test (LBL) was used to analyze trends over time. Results The most prevalent subtypes were 1a (38%) and 3a (34%). Subtype 1a was most prevalent among cases transmitted via sexual contact, via contaminated blood, or blood products, while subtype 3a was most prevalent among people who inject drugs (PWIDs). Phylogenetic analysis revealed that the subtype 3a sequences formed more and larger transmission clusters (50% of the sequences clustered), while the 1a sequences formed smaller clusters (19% of the sequences clustered), possibly suggesting different epidemics. Conclusion We found different transmission patterns in D-county which may, from a public health perspective, have implications for how to control virus infections by targeted interventions.\",\"PeriodicalId\":37446,\"journal\":{\"name\":\"Infection Ecology and Epidemiology\",\"volume\":\"6 1\",\"pages\":\"\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2016-01-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"https://sci-hub-pdf.com/10.3402/iee.v6.30670\",\"citationCount\":\"4\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Infection Ecology and Epidemiology\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.3402/iee.v6.30670\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q1\",\"JCRName\":\"Environmental Science\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Infection Ecology and Epidemiology","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.3402/iee.v6.30670","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"Environmental Science","Score":null,"Total":0}
Molecular characterization of HCV in a Swedish county over 8 years (2002–2009) reveals distinct transmission patterns
Background Hepatitis C virus (HCV) is a major public health concern and data on its molecular epidemiology in Sweden is scarce. We carried out an 8-year population-based study of newly diagnosed HCV cases in one of Sweden's centrally situated counties, Södermanland (D-county). The aim was to characterize the HCV strains circulating, analyze their genetic relatedness to detect networks, and in combination with demographic data learn more about transmission. Methods Molecular analyses of serum samples from 91% (N=557) of all newly notified cases in D-county, 2002–2009, were performed. Phylogenetic analysis (NS5B gene, 300 bp) was linked to demographic data from the national surveillance database, SmiNet, to characterize D-county transmission clusters. The linear-by-linear association test (LBL) was used to analyze trends over time. Results The most prevalent subtypes were 1a (38%) and 3a (34%). Subtype 1a was most prevalent among cases transmitted via sexual contact, via contaminated blood, or blood products, while subtype 3a was most prevalent among people who inject drugs (PWIDs). Phylogenetic analysis revealed that the subtype 3a sequences formed more and larger transmission clusters (50% of the sequences clustered), while the 1a sequences formed smaller clusters (19% of the sequences clustered), possibly suggesting different epidemics. Conclusion We found different transmission patterns in D-county which may, from a public health perspective, have implications for how to control virus infections by targeted interventions.
期刊介绍:
Infection Ecology & Epidemiology aims to stimulate inter-disciplinary collaborations dealing with a range of subjects, from the plethora of zoonotic infections in humans, over diseases with implication in wildlife ecology, to advanced virology and bacteriology. The journal specifically welcomes papers from studies where researchers from multiple medical and ecological disciplines are collaborating so as to increase our knowledge of the emergence, spread and effect of new and re-emerged infectious diseases in humans, domestic animals and wildlife. Main areas of interest include, but are not limited to: 1.Zoonotic microbioorganisms 2.Vector borne infections 3.Gastrointestinal pathogens 4.Antimicrobial resistance 5.Zoonotic microbioorganisms in changing environment