Literature DB >> 33614521

Epidemic Trend and Molecular Evolution of HV Family in the Main Hantavirus Epidemic Areas From 2004 to 2016, in P.R. China.

Qiuwei Wang1, Ming Yue2, Pingping Yao3, Changqiang Zhu1, Lele Ai1, Dan Hu1, Bin Zhang1, Zhangnv Yang3, Xiaohong Yang1, Fan Luo4, Chunhui Wang1, Wei Hou4, Weilong Tan1.   

Abstract

Hemorrhagic fever with renal syndrome (HFRS) is caused by hantavirus (HV) infection, and is prevalent across Europe and Asia (mainly China). The genetic variation and wide host range of the HV family may lead to vaccine failure. In this study, we analyzed the gene sequences of HV isolated from different regions of China in order to trace the molecular evolution of HV and the epidemiological trends of HFRS. A total of 16,6975 HFRS cases and 1,689 HFRS-related deaths were reported from 2004 to 2016, with the average annual incidence rate of 0.9674 per 100,000, 0.0098 per 100,000 mortality rate, and case fatality rate 0.99%. The highest number of cases were detected in 2004 (25,041), and after decreasing to the lowest numbers (8,745) in 2009, showed an incline from 2010. The incidence of HFRS is the highest in spring and winter, and three times as many men are affected as women. In addition, farmers account for the largest proportion of all cases. The main hosts of HV are Rattus norvegicus and Apodemus agrarius, and the SEOV strain is mainly found in R. norvegicus and Niviventer confucianus. Phylogenetic analysis showed that at least 10 HTNV subtypes and 6 SEOV subtypes are endemic to China. We found that the clustering pattern of M genome segments was different from that of the S segments, indicating the possibility of gene recombination across HV strains. The recent increase in the incidence of HFRS may be related to climatic factors, such as temperature, relative humidity and hours of sunshine, as well as biological factors like rodent density, virus load in rodents and genetic variation. The scope of vaccine application should be continuously expanded, and surveillance measures and prevention and control strategies should be improved to reduce HFRS infection in China.
Copyright © 2021 Wang, Yue, Yao, Zhu, Ai, Hu, Zhang, Yang, Yang, Luo, Wang, Hou and Tan.

Entities:  

Keywords:  epidemical tendency; genetic variation; hantavirus; incidence rate; molecular evolution

Year:  2021        PMID: 33614521      PMCID: PMC7886990          DOI: 10.3389/fcimb.2020.584814

Source DB:  PubMed          Journal:  Front Cell Infect Microbiol        ISSN: 2235-2988            Impact factor:   5.293


  46 in total

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Review 6.  Haemorrhagic fever with renal syndrome: literature review and distribution analysis in China.

Authors:  Lu-Xi Zou; Mao-Jie Chen; Ling Sun
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7.  A new Hantaan-like virus in rodents (Apodemus peninsulae) from Northeastern China.

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8.  Prevalence of hemorrhagic fever with renal syndrome in Qingdao City, China, 2010-2014.

Authors:  Fachun Jiang; Zhentang Zhang; Liyan Dong; Bi Hao; Zaifeng Xue; Dongqiang Ma; Hang Su; Hong-Ling Wen; Hao Yu; Xue-Jie Yu
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9.  Spatiotemporal variation of the association between climate dynamics and HFRS outbreaks in Eastern China during 2005-2016 and its geographic determinants.

Authors:  Junyu He; George Christakos; Jiaping Wu; Bernard Cazelles; Quan Qian; Di Mu; Yong Wang; Wenwu Yin; Wenyi Zhang
Journal:  PLoS Negl Trop Dis       Date:  2018-06-06

10.  Climate change and sugarcane expansion increase Hantavirus infection risk.

Authors:  Paula Ribeiro Prist; María Uriarte; Katia Fernandes; Jean Paul Metzger
Journal:  PLoS Negl Trop Dis       Date:  2017-07-20
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  2 in total

1.  Estimating the Long-Term Epidemiological Trends and Seasonality of Hemorrhagic Fever with Renal Syndrome in China.

Authors:  Yuhan Xiao; Yanyan Li; Yuhong Li; Chongchong Yu; Yichun Bai; Lei Wang; Yongbin Wang
Journal:  Infect Drug Resist       Date:  2021-09-21       Impact factor: 4.003

2.  Genetic and hosts characterization of hantaviruses in port areas in Hainan Province, P. R. China.

Authors:  Qiu-Wei Wang; Li Tao; Su-Ying Lu; Chang-Qiang Zhu; Le-le Ai; Yizhe Luo; Rong-Bin Yu; Heng Lv; Yun Zhang; Chong-Cai Wang; Wei-Long Tan
Journal:  PLoS One       Date:  2022-03-03       Impact factor: 3.240

  2 in total

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