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The changing epidemiology of hemorrhagic fever with renal syndrome in Southeastern China during 1963–2020: A retrospective analysis of surveillance data

BACKGROUND: Hemorrhagic fever with renal syndrome (HFRS) is a rodent-borne disease caused by hantavirus which was endemic Zhejiang Province, China. In this study, we aim to explore the changing epidemiology of HFRS in Zhejiang, identify high-risk areas and populations, and evaluate relevant policies...

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Autores principales: Zhang, Rong, Mao, Zhiyuan, Yang, Jun, Liu, Shelan, Liu, Ying, Qin, Shuwen, Tian, Huaiyu, Guo, Song, Ren, Jiangping, Shi, Xuguang, Li, Xuan, Sun, Jimin, Ling, Feng, Wang, Zhen
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Public Library of Science 2021
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8372920/
https://www.ncbi.nlm.nih.gov/pubmed/34358248
http://dx.doi.org/10.1371/journal.pntd.0009673
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author Zhang, Rong
Mao, Zhiyuan
Yang, Jun
Liu, Shelan
Liu, Ying
Qin, Shuwen
Tian, Huaiyu
Guo, Song
Ren, Jiangping
Shi, Xuguang
Li, Xuan
Sun, Jimin
Ling, Feng
Wang, Zhen
author_facet Zhang, Rong
Mao, Zhiyuan
Yang, Jun
Liu, Shelan
Liu, Ying
Qin, Shuwen
Tian, Huaiyu
Guo, Song
Ren, Jiangping
Shi, Xuguang
Li, Xuan
Sun, Jimin
Ling, Feng
Wang, Zhen
author_sort Zhang, Rong
collection PubMed
description BACKGROUND: Hemorrhagic fever with renal syndrome (HFRS) is a rodent-borne disease caused by hantavirus which was endemic Zhejiang Province, China. In this study, we aim to explore the changing epidemiology of HFRS in Zhejiang, identify high-risk areas and populations, and evaluate relevant policies and interventions to better improve HFRS control and prevention. METHODS: Surveillance data on HFRS during 1963–2020 in Zhejiang Province were extracted from Zhejiang Provincial Center for Disease Control and Prevention archives and the Chinese Notifiable Disease Reporting System. The changing epidemiological characteristics of HFRS including seasonal distribution, geographical distribution, and demographic features, were analyzed using joinpoint regression, autoregressive integrated moving average model, descriptive statistical methods, and Spatio-temporal cluster analysis. RESULTS: From 1963 to 2020, 114 071 HFRS cases and 1269 deaths were reported in Zhejiang Province. The incidence increased sharply from 1973 and peaked in 1986, then decreased steadily and maintained a stable incidence from 2004. HFRS cases were reported in all 11 prefecture-level cities of Zhejiang Province from 1963 to 2020. The joint region (Shengzhou, Xinchang, Tiantai, and surrounding areas), and Kaihua County are the most seriously affected regions throughout time. After 1990, the first HFRS incidence peak was in May-June, with another one from November to January. Most HFRS cases occurred in 21- (26.48%) and 30- years group (24.25%) from 1991 to 2004, but 41- (25.75%) and 51-years (23.30%) had the highest proportion from 2005 to 2020. Farmers accounted for most cases (78.10%), and cases are predominantly males with a male-to-female ratio of 2.6:1. It was found that the median time from onset to diagnosis was 6.5 days (IQR 3.75–10.42), and the time from diagnosis to disease report was significantly shortened after 2011. CONCLUSIONS: We observed dynamic changes in the seasonal distribution, geographical distribution, and demographic features of HFRS, which should be well considered in the development of control and prevention strategies in future. Additional researches are warranted to elucidate the environmental, meteorological, and social factors associated with HFRS incidence in different decades.
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spelling pubmed-83729202021-08-19 The changing epidemiology of hemorrhagic fever with renal syndrome in Southeastern China during 1963–2020: A retrospective analysis of surveillance data Zhang, Rong Mao, Zhiyuan Yang, Jun Liu, Shelan Liu, Ying Qin, Shuwen Tian, Huaiyu Guo, Song Ren, Jiangping Shi, Xuguang Li, Xuan Sun, Jimin Ling, Feng Wang, Zhen PLoS Negl Trop Dis Research Article BACKGROUND: Hemorrhagic fever with renal syndrome (HFRS) is a rodent-borne disease caused by hantavirus which was endemic Zhejiang Province, China. In this study, we aim to explore the changing epidemiology of HFRS in Zhejiang, identify high-risk areas and populations, and evaluate relevant policies and interventions to better improve HFRS control and prevention. METHODS: Surveillance data on HFRS during 1963–2020 in Zhejiang Province were extracted from Zhejiang Provincial Center for Disease Control and Prevention archives and the Chinese Notifiable Disease Reporting System. The changing epidemiological characteristics of HFRS including seasonal distribution, geographical distribution, and demographic features, were analyzed using joinpoint regression, autoregressive integrated moving average model, descriptive statistical methods, and Spatio-temporal cluster analysis. RESULTS: From 1963 to 2020, 114 071 HFRS cases and 1269 deaths were reported in Zhejiang Province. The incidence increased sharply from 1973 and peaked in 1986, then decreased steadily and maintained a stable incidence from 2004. HFRS cases were reported in all 11 prefecture-level cities of Zhejiang Province from 1963 to 2020. The joint region (Shengzhou, Xinchang, Tiantai, and surrounding areas), and Kaihua County are the most seriously affected regions throughout time. After 1990, the first HFRS incidence peak was in May-June, with another one from November to January. Most HFRS cases occurred in 21- (26.48%) and 30- years group (24.25%) from 1991 to 2004, but 41- (25.75%) and 51-years (23.30%) had the highest proportion from 2005 to 2020. Farmers accounted for most cases (78.10%), and cases are predominantly males with a male-to-female ratio of 2.6:1. It was found that the median time from onset to diagnosis was 6.5 days (IQR 3.75–10.42), and the time from diagnosis to disease report was significantly shortened after 2011. CONCLUSIONS: We observed dynamic changes in the seasonal distribution, geographical distribution, and demographic features of HFRS, which should be well considered in the development of control and prevention strategies in future. Additional researches are warranted to elucidate the environmental, meteorological, and social factors associated with HFRS incidence in different decades. Public Library of Science 2021-08-06 /pmc/articles/PMC8372920/ /pubmed/34358248 http://dx.doi.org/10.1371/journal.pntd.0009673 Text en © 2021 Zhang et al https://creativecommons.org/licenses/by/4.0/This is an open access article distributed under the terms of the Creative Commons Attribution License (https://creativecommons.org/licenses/by/4.0/) , which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.
spellingShingle Research Article
Zhang, Rong
Mao, Zhiyuan
Yang, Jun
Liu, Shelan
Liu, Ying
Qin, Shuwen
Tian, Huaiyu
Guo, Song
Ren, Jiangping
Shi, Xuguang
Li, Xuan
Sun, Jimin
Ling, Feng
Wang, Zhen
The changing epidemiology of hemorrhagic fever with renal syndrome in Southeastern China during 1963–2020: A retrospective analysis of surveillance data
title The changing epidemiology of hemorrhagic fever with renal syndrome in Southeastern China during 1963–2020: A retrospective analysis of surveillance data
title_full The changing epidemiology of hemorrhagic fever with renal syndrome in Southeastern China during 1963–2020: A retrospective analysis of surveillance data
title_fullStr The changing epidemiology of hemorrhagic fever with renal syndrome in Southeastern China during 1963–2020: A retrospective analysis of surveillance data
title_full_unstemmed The changing epidemiology of hemorrhagic fever with renal syndrome in Southeastern China during 1963–2020: A retrospective analysis of surveillance data
title_short The changing epidemiology of hemorrhagic fever with renal syndrome in Southeastern China during 1963–2020: A retrospective analysis of surveillance data
title_sort changing epidemiology of hemorrhagic fever with renal syndrome in southeastern china during 1963–2020: a retrospective analysis of surveillance data
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8372920/
https://www.ncbi.nlm.nih.gov/pubmed/34358248
http://dx.doi.org/10.1371/journal.pntd.0009673
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