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Geo-spatial Hotspots of Hemorrhagic Fever with Renal Syndrome and Genetic Characterization of Seoul Variants in Beijing, China

BACKGROUND: Hemorrhagic fever with renal syndrome (HFRS) is highly endemic in mainland China, and has extended from rural areas to cities recently. Beijing metropolis is a novel affected region, where the HFRS incidence seems to be diverse from place to place. METHODOLOGY/PRINCIPAL FINDINGS: The spa...

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Autores principales: Zuo, Shu-Qing, Fang, Li-Qun, Zhan, Lin, Zhang, Pan-He, Jiang, Jia-Fu, Wang, Li-Ping, Ma, Jia-Qi, Wang, Bing-Cai, Wang, Ri-Min, Wu, Xiao-Ming, Yang, Hong, Cao, Zhi-Wei, Cao, Wu-Chun
Formato: Texto
Lenguaje:English
Publicado: Public Library of Science 2011
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3019113/
https://www.ncbi.nlm.nih.gov/pubmed/21264354
http://dx.doi.org/10.1371/journal.pntd.0000945
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author Zuo, Shu-Qing
Fang, Li-Qun
Zhan, Lin
Zhang, Pan-He
Jiang, Jia-Fu
Wang, Li-Ping
Ma, Jia-Qi
Wang, Bing-Cai
Wang, Ri-Min
Wu, Xiao-Ming
Yang, Hong
Cao, Zhi-Wei
Cao, Wu-Chun
author_facet Zuo, Shu-Qing
Fang, Li-Qun
Zhan, Lin
Zhang, Pan-He
Jiang, Jia-Fu
Wang, Li-Ping
Ma, Jia-Qi
Wang, Bing-Cai
Wang, Ri-Min
Wu, Xiao-Ming
Yang, Hong
Cao, Zhi-Wei
Cao, Wu-Chun
author_sort Zuo, Shu-Qing
collection PubMed
description BACKGROUND: Hemorrhagic fever with renal syndrome (HFRS) is highly endemic in mainland China, and has extended from rural areas to cities recently. Beijing metropolis is a novel affected region, where the HFRS incidence seems to be diverse from place to place. METHODOLOGY/PRINCIPAL FINDINGS: The spatial scan analysis based on geographical information system (GIS) identified three geo-spatial “hotspots” of HFRS in Beijing when the passive surveillance data from 2004 to 2006 were used. The Relative Risk (RR) of the three “hotspots” was 5.45, 3.57 and 3.30, respectively. The Phylogenetic analysis based on entire coding region sequence of S segment and partial L segment sequence of Seoul virus (SEOV) revealed that the SEOV strains circulating in Beijing could be classified into at least three lineages regardless of their host origins. Two potential recombination events that happened in lineage #1 were detected and supported by comparative phylogenetic analysis. The SEOV strains in different lineages and strains with distinct special amino acid substitutions for N protein were partially associated with different spatial clustered areas of HFRS. CONCLUSION/SIGNIFICANCE: Hotspots of HFRS were found in Beijing, a novel endemic region, where intervention should be enhanced. Our data suggested that the genetic variation and recombination of SEOV strains was related to the high risk areas of HFRS, which merited further investigation.
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spelling pubmed-30191132011-01-24 Geo-spatial Hotspots of Hemorrhagic Fever with Renal Syndrome and Genetic Characterization of Seoul Variants in Beijing, China Zuo, Shu-Qing Fang, Li-Qun Zhan, Lin Zhang, Pan-He Jiang, Jia-Fu Wang, Li-Ping Ma, Jia-Qi Wang, Bing-Cai Wang, Ri-Min Wu, Xiao-Ming Yang, Hong Cao, Zhi-Wei Cao, Wu-Chun PLoS Negl Trop Dis Research Article BACKGROUND: Hemorrhagic fever with renal syndrome (HFRS) is highly endemic in mainland China, and has extended from rural areas to cities recently. Beijing metropolis is a novel affected region, where the HFRS incidence seems to be diverse from place to place. METHODOLOGY/PRINCIPAL FINDINGS: The spatial scan analysis based on geographical information system (GIS) identified three geo-spatial “hotspots” of HFRS in Beijing when the passive surveillance data from 2004 to 2006 were used. The Relative Risk (RR) of the three “hotspots” was 5.45, 3.57 and 3.30, respectively. The Phylogenetic analysis based on entire coding region sequence of S segment and partial L segment sequence of Seoul virus (SEOV) revealed that the SEOV strains circulating in Beijing could be classified into at least three lineages regardless of their host origins. Two potential recombination events that happened in lineage #1 were detected and supported by comparative phylogenetic analysis. The SEOV strains in different lineages and strains with distinct special amino acid substitutions for N protein were partially associated with different spatial clustered areas of HFRS. CONCLUSION/SIGNIFICANCE: Hotspots of HFRS were found in Beijing, a novel endemic region, where intervention should be enhanced. Our data suggested that the genetic variation and recombination of SEOV strains was related to the high risk areas of HFRS, which merited further investigation. Public Library of Science 2011-01-11 /pmc/articles/PMC3019113/ /pubmed/21264354 http://dx.doi.org/10.1371/journal.pntd.0000945 Text en Zuo et al. http://creativecommons.org/licenses/by/4.0/ This is an open-access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are properly credited.
spellingShingle Research Article
Zuo, Shu-Qing
Fang, Li-Qun
Zhan, Lin
Zhang, Pan-He
Jiang, Jia-Fu
Wang, Li-Ping
Ma, Jia-Qi
Wang, Bing-Cai
Wang, Ri-Min
Wu, Xiao-Ming
Yang, Hong
Cao, Zhi-Wei
Cao, Wu-Chun
Geo-spatial Hotspots of Hemorrhagic Fever with Renal Syndrome and Genetic Characterization of Seoul Variants in Beijing, China
title Geo-spatial Hotspots of Hemorrhagic Fever with Renal Syndrome and Genetic Characterization of Seoul Variants in Beijing, China
title_full Geo-spatial Hotspots of Hemorrhagic Fever with Renal Syndrome and Genetic Characterization of Seoul Variants in Beijing, China
title_fullStr Geo-spatial Hotspots of Hemorrhagic Fever with Renal Syndrome and Genetic Characterization of Seoul Variants in Beijing, China
title_full_unstemmed Geo-spatial Hotspots of Hemorrhagic Fever with Renal Syndrome and Genetic Characterization of Seoul Variants in Beijing, China
title_short Geo-spatial Hotspots of Hemorrhagic Fever with Renal Syndrome and Genetic Characterization of Seoul Variants in Beijing, China
title_sort geo-spatial hotspots of hemorrhagic fever with renal syndrome and genetic characterization of seoul variants in beijing, china
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3019113/
https://www.ncbi.nlm.nih.gov/pubmed/21264354
http://dx.doi.org/10.1371/journal.pntd.0000945
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