Spatial analysis of severe fever with thrombocytopenia syndrome virus in china using a geographically weighted logistic regression model
文献类型：期刊论文
| 作者 | Wu, Liang1,2; Deng, Fei3; Xie, Zhong1,2; Hu, Sheng1; Shen, Shu3; Shi, Junming3; Liu, Dan4 |
| 刊名 | International journal of environmental research and public health
 |
| 出版日期 | 2016-11-01 |
| 卷号 | 13期号:11页码:16 |
| 关键词 | Sftsv Gwlr Spatial analysis Public health |
| ISSN号 | 1660-4601 |
| DOI | 10.3390/ijerph13111125 |
| 通讯作者 | Liu, dan(liudan125@wust.edu.cn) |
| 英文摘要 | Severe fever with thrombocytopenia syndrome (sfts) is caused by severe fever with thrombocytopenia syndrome virus (sftsv), which has had a serious impact on public health in parts of asia. there is no specific antiviral drug or vaccine for sftsv and, therefore, it is important to determine the factors that influence the occurrence of sftsv infections. this study aimed to explore the spatial associations between sftsv infections and several potential determinants, and to predict the high-risk areas in mainland china. the analysis was carried out at the level of provinces in mainland china. the potential explanatory variables that were investigated consisted of meteorological factors (average temperature, average monthly precipitation and average relative humidity), the average proportion of rural population and the average proportion of primary industries over three years (2010-2012). we constructed a geographically weighted logistic regression (gwlr) model in order to explore the associations between the selected variables and confirmed cases of sftsv. the study showed that: (1) meteorological factors have a strong influence on the sftsv cover; (2) a gwlr model is suitable for exploring sftsv cover in mainland china; (3) our findings can be used for predicting high-risk areas and highlighting when meteorological factors pose a risk in order to aid in the implementation of public health strategies. |
| WOS关键词 | VARIANCE INFLATION FACTORS ; TO-PERSON TRANSMISSION ; SYNDROME BUNYAVIRUS ; RISK-FACTORS ; SOUTH-KOREA ; LAND-USE ; PROVINCE ; ANIMALS ; SEROPREVALENCE ; IDENTIFICATION |
| WOS研究方向 | Environmental Sciences & Ecology ; Public, Environmental & Occupational Health |
| WOS类目 | Environmental Sciences ; Public, Environmental & Occupational Health |
| 语种 | 英语 |
| WOS记录号 | WOS:000389571300084 |
| 出版者 | MDPI AG |
| URI标识 | http://www.irgrid.ac.cn/handle/1471x/2373489 |
| 专题 | 武汉病毒研究所 |
| 通讯作者 | Liu, Dan |
| 作者单位 | 1.China Univ Geosci, Sch Informat Engn, Wuhan 430074, Peoples R China 2.Natl Engn Res Ctr GIS, Wuhan 430074, Peoples R China 3.Chinese Acad Sci, Wuhan Inst Virol, State Key Lab Virol, Wuhan 430071, Peoples R China 4.Wuhan Univ Sci & Technol, Sch Med, Wuhan 430081, Peoples R China |
| 推荐引用方式 GB/T 7714 | Wu, Liang,Deng, Fei,Xie, Zhong,et al. Spatial analysis of severe fever with thrombocytopenia syndrome virus in china using a geographically weighted logistic regression model[J]. International journal of environmental research and public health,2016,13(11):16. |
| APA | Wu, Liang.,Deng, Fei.,Xie, Zhong.,Hu, Sheng.,Shen, Shu.,...&Liu, Dan.(2016).Spatial analysis of severe fever with thrombocytopenia syndrome virus in china using a geographically weighted logistic regression model.International journal of environmental research and public health,13(11),16. |
| MLA | Wu, Liang,et al."Spatial analysis of severe fever with thrombocytopenia syndrome virus in china using a geographically weighted logistic regression model".International journal of environmental research and public health 13.11(2016):16. |
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来源：武汉病毒研究所
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