Spatiotemporal patterns and spatial risk factors for visceral leishmaniasis from 2007 to 2017 in Western and Central China: A modelling analysis
文献类型:期刊论文
作者 | Jiang, Dong2,3; Ma, Tian2,3; Hao, Mengmeng2,3; Qian, Yushu3; Chen, Shuai2,3; Meng, Ze3; Wang, Liping1; Zheng, Canjun1; Qi, Xiao1; Wang, Qian2,3 |
刊名 | SCIENCE OF THE TOTAL ENVIRONMENT
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出版日期 | 2021-04-10 |
卷号 | 764页码:8 |
关键词 | Visceral leishmaniasis Neglected diseases Spatial risk factors Spatiotemporal patterns Public health |
ISSN号 | 0048-9697 |
DOI | 10.1016/j.scitotenv.2020.144275 |
通讯作者 | Qi, Xiao(qixiao@chinacdc.cn) ; Wang, Qian(wangq.17s@igsnrr.ac.cn) ; Ding, Fangyu(dingfy.17b@igsnrr.ac.cn) |
英文摘要 | Visceral leishmaniasis (VL) is a neglected disease caused by trypanosomatid protozoa in the genus Leishmania, which is transmitted by phlebotomine sandllies. Although this vector-borne disease has been eliminated in several regions of China during the last century, the reported human VL cases have rebounded in Western and Central China in recent decades. However, understanding of the spatial epidemiology of the disease remains vague, as the spatial risk factors driving the spatial heterogeneity of VL. In this study, we analyzed the spatiotemporal patterns of annual human VL cases in Western and Central China from 2007 to 2017. Based on the related spatial maps, the boosted regression tree (BRT) model was adopted to explore the relationships between VL and spatial correlates as well as predicting both the existing and potential infection risk zones of VL in Western and Central China The mined links reveal that elevation, minimum temperature, relative humidity, and annual accumulated precipitation make great contributions to the spatial heterogeneity of VL The maps show that Xinjiang Uygur Autonomous Region, Gansu, western Inner Mongolia Autonomous Region, and Sichuan are predicted to fall in the highest infection risk zones of VL Approximately 61.60 million resident populations lived in the high-risk regions of VL in Western and Central China. Our results provide a better understanding of how spatial risk factors driving VL spread as well as identifying the potential endemic risk region of VL, thereby enhancing the biosurveillance capacity of public health authorities. (C) 2020 The Authors. Published by Elsevier B.V. |
资助项目 | Strategic Priority Research Program of the Chinese Academy of Sciences[XDA19040305] ; China Mega-Project on Infectious Disease Prevention[2018ZX10713001] |
WOS研究方向 | Environmental Sciences & Ecology |
语种 | 英语 |
WOS记录号 | WOS:000614249600131 |
出版者 | ELSEVIER |
资助机构 | Strategic Priority Research Program of the Chinese Academy of Sciences ; China Mega-Project on Infectious Disease Prevention |
源URL | [http://ir.igsnrr.ac.cn/handle/311030/160565] ![]() |
专题 | 中国科学院地理科学与资源研究所 |
通讯作者 | Qi, Xiao; Wang, Qian; Ding, Fangyu |
作者单位 | 1.Chinese Ctr Dis Control & Prevent China CDC, Natl Inst Viral Dis Control & Prevent, Beijing 102206, Peoples R China 2.Univ Chinese Acad Sci, Coll Resources & Environm, Beijing 100049, Peoples R China 3.Chinese Acad Sci, Inst Geog Sci & Nat Resources Res, State Key Lab Resources & Environm Informat Syst, Beijing 100101, Peoples R China |
推荐引用方式 GB/T 7714 | Jiang, Dong,Ma, Tian,Hao, Mengmeng,et al. Spatiotemporal patterns and spatial risk factors for visceral leishmaniasis from 2007 to 2017 in Western and Central China: A modelling analysis[J]. SCIENCE OF THE TOTAL ENVIRONMENT,2021,764:8. |
APA | Jiang, Dong.,Ma, Tian.,Hao, Mengmeng.,Qian, Yushu.,Chen, Shuai.,...&Ding, Fangyu.(2021).Spatiotemporal patterns and spatial risk factors for visceral leishmaniasis from 2007 to 2017 in Western and Central China: A modelling analysis.SCIENCE OF THE TOTAL ENVIRONMENT,764,8. |
MLA | Jiang, Dong,et al."Spatiotemporal patterns and spatial risk factors for visceral leishmaniasis from 2007 to 2017 in Western and Central China: A modelling analysis".SCIENCE OF THE TOTAL ENVIRONMENT 764(2021):8. |
入库方式: OAI收割
来源:地理科学与资源研究所
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