Landscape and rodent community composition are associated with risk of hemorrhagic fever with renal syndrome in two cities in China, 2006-2013.
Landscape and rodent community composition are associated with risk of hemorrhagic fever with renal syndrome in two cities in China, 2006-2013.
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2006-2013年中国两个城市景观和啮齿动物群落组成与肾综合征出血热风险相关
DOI:
10.1186/s12879-017-2827-5
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发表时间:
2018-01-12
影响因子:
3.7
通讯作者:
Tian H
中科院分区:
文献类型:
--
作者:
Xiao H;Tong X;Huang R;Gao L;Hu S;Li Y;Gao H;Zheng P;Yang H;Huang ZYX;Tan H;Tian H
BackgroundHemorrhagic fever with renal syndrome (HFRS) is a rodent-borne disease caused by hantaviruses. Landscape can influence the risk of hantavirus infection for humans, mainly through its effect on rodent community composition and distribution. It is important to understand how landscapes influence population dynamics for different rodent species and the subsequent effect on HFRS risk.MethodsTo determine how rodent community composition influenced human hantavirus infection, we monitored rodent communities in the prefecture-level cities of Loudi and Shaoyang, China, from 2006 to 2013. Land use data were extracted from satellite images and rodent community diversity was analyzed in 45 trapping sites, in different environments. Potential contact matrices, determining how rodent community composition influence HFRS infection among different land use types, were estimated based on rodent community composition and environment type for geo-located HFRS cases.ResultsApodemus agrariusandRattus norvegicuswere the predominant species in Loudi and Shaoyang, respectively. The major risk of HFRS infection was concentrated in areas with cultivated land and was associated withA. agrarius,R. norvegicus, andRattus flavipectus. In urban areas in Shaoyang,Mus musculuswas related to risk of hantavirus infection.ConclusionsLandscape features and rodent community dynamics may affect the risk of human hantavirus infection. Results of this study may be useful for the development of HFRS prevention initiatives that are customized for regions with different geographical environments.
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影响因子:
3.8
作者:
Xiao H;Tian HY;Cazelles B;Li XJ;Tong SL;Gao LD;Qin JX;Lin XL;Liu HN;Zhang XX
通讯作者:
Zhang XX
影响因子:
7.7
作者:
Bi, P;Tong, S;Ni, J
通讯作者:
Ni, J
影响因子:
2.1
作者:
Olsson, Gert E.;Leirs, Herwig;Henttonen, Heikki
通讯作者:
Henttonen, Heikki
影响因子:
2.1
作者:
Bi, P;Parton, KA;Tong, SL
通讯作者:
Tong, SL
影响因子:
3.8
作者:
Kallio, Eva R.;Begon, Michael;Vapalahti, Olli
通讯作者:
Vapalahti, Olli