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[中国肾综合征出血热的流行病学特征及时空分析模型的建立]

[Epidemiological characteristics and the development of spatiotemporal analysis models on hemorrhagic fever with renal syndrome in China].

作者信息

Chen J J, Guo T C, Song S X, Shao Z J, Liu K

机构信息

Department of Epidemiology, School of Military Preventive Medicine, Air Force Medical University, Ministry of Education Key Lab of Hazard Assessment and Control in Special Operational Environment, Xi'an, 710032, China.

出版信息

Zhonghua Liu Xing Bing Xue Za Zhi. 2020 Oct 10;41(10):1735-1740. doi: 10.3760/cma.j.cn112338-20191108-00794.

DOI:10.3760/cma.j.cn112338-20191108-00794
PMID:33297635
Abstract

Hemorrhagic fever with renal syndrome (HFRS) is a rodent-borne disease of natural infectious focus caused by Hantavirus (HV) with clinical characteristics as fever, hemorrhage, hyperemia, hypotensive shock and renal damage. Through contacting the excreta or secretion of infected rats, human may get infected. The epidemiological characteristics of HFRS are significantly different in terms of population differences, geographical heterogeneity and seasonal variation, which are all closely related to the habitat of host animals and human productive activities. The reported number of HFRS is about 150 000 to 200 000 each year worldwide, and China accounted for 70-90 of the total reported cases standing the most seriously infected country. In this study, we reviewed the epidemiological characteristics and the influencing factors of HFRS as well as the models and methods used in relevant ecological studies, in order to understand the distribution of time, regional and population and potential influencing factors on the transmission of HFRS better, so as to improve the strategies on investigation, monitoring, prevention and control of the diseases.

摘要

肾综合征出血热(HFRS)是由汉坦病毒(HV)引起的一种自然疫源性鼠传疾病,临床特征为发热、出血、充血、低血压休克及肾脏损害。人类通过接触感染鼠的排泄物或分泌物而被感染。HFRS的流行病学特征在人群差异、地理异质性和季节变化方面有显著不同,这些都与宿主动物的栖息地及人类生产活动密切相关。全球每年报告的HFRS病例数约为15万至20万,中国占报告病例总数的70%-90%,是受感染最严重的国家。在本研究中,我们回顾了HFRS的流行病学特征、影响因素以及相关生态学研究中使用的模型和方法,以便更好地了解HFRS传播的时间、地区和人群分布以及潜在影响因素,从而改进该疾病的调查、监测、预防和控制策略。

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