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  • Ecology and geography of hemorrhagic fever with renal syndrome in Changsha, China

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    Author(s)
    Xiao, Hong
    Lin, Xiaoling
    Gao, Lidong
    Huang, Cunrui
    Tian, Huaiyu
    Li, Na
    Qin, Jianxin
    Zhu, Peijuan
    Chen, Biyun
    Zhang, Xixing
    Zhao, Jian
    Griffith University Author(s)
    Huang, Cunrui
    Year published
    2013
    Metadata
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    Abstract
    Background Hemorrhagic fever with renal syndrome (HFRS) is an important public health problem in mainland China. HFRS is particularly endemic in Changsha, the capital city of Hunan Province, with one of the highest incidences in China. The occurrence of HFRS is influenced by environmental factors. However, few studies have examined the relationship between environmental variation (such as land use changes and climate variations), rodents and HFRS occurrence. The purpose of this study is to predict the distribution of HFRS and identify the risk factors and relationship between HFRS occurrence and rodent hosts, combining ...
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    Background Hemorrhagic fever with renal syndrome (HFRS) is an important public health problem in mainland China. HFRS is particularly endemic in Changsha, the capital city of Hunan Province, with one of the highest incidences in China. The occurrence of HFRS is influenced by environmental factors. However, few studies have examined the relationship between environmental variation (such as land use changes and climate variations), rodents and HFRS occurrence. The purpose of this study is to predict the distribution of HFRS and identify the risk factors and relationship between HFRS occurrence and rodent hosts, combining ecological modeling with the Markov chain Monte Carlo approach. Methods Ecological niche models (ENMs) were used to evaluate potential geographic distributions of rodent species by reconstructing details of their ecological niches in ecological dimensions, and projecting the results onto geography. The Genetic Algorithm for Rule-set Production was used to produce ENMs. Data were collected on HFRS cases in Changsha from 2005 to 2009, as well as national land survey data, surveillance data of rodents, meteorological data and normalized difference vegetation index (NDVI). Results The highest occurrence of HFRS was in districts with strong temperature seasonality, where elevation is below 200 m, mean annual temperature is around 17.5ì and annual precipitation is below 1600 mm. Cultivated and urban lands in particular are associated with HFRS occurrence. Monthly NDVI values of areas predicted present is lower than areas predicted absent, with high seasonal variation. The number of HFRS cases was correlated with rodent density, and the incidence of HFRS cases in urban and forest areas was mainly associated with the density of Rattus norvegicus and Apodemus agrarius, respectively. Conclusions Heterogeneity between different areas shows that HFRS occurrence is affected by the intensity of human activity, climate conditions, and landscape elements. Rodent density and species composition have significant impacts on the number of HFRS cases and their distribution.
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    Journal Title
    BMC Infectious Diseases
    Volume
    13
    DOI
    https://doi.org/10.1186/1471-2334-13-305
    Copyright Statement
    © 2013 Xiao et al; licensee BioMed Central Ltd. This is an Open Access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/2.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
    Note
    Page numbers are not for citation purposes. Instead, this article has the unique article number of 305.
    Subject
    Microbiology
    Microbiology not elsewhere classified
    Clinical sciences
    Medical microbiology
    Publication URI
    http://hdl.handle.net/10072/60428
    Collection
    • Journal articles

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