中国科学院机构知识库网格
Chinese Academy of Sciences Institutional Repositories Grid
Non-negligible impacts of urbanization on spatiotemporal variations of infectious disease: a case study of hemorrhagic fever with renal syndrome epidemics in China

文献类型:期刊论文

作者Wei, Qi1,2,4,5; Ren, Hongyan5; Lu, Liang3; Shi, Runhe1,2,4
刊名INFECTIOUS DISEASES OF POVERTY
出版日期2025-10-16
卷号14期号:1页码:104
关键词Hemorrhagic fever with renal syndrome Meteorological factor Multidimensional urbanization Joinpoint regression Geodector analysis China
ISSN号2095-5162
DOI10.1186/s40249-025-01366-w
产权排序2
文献子类Article
英文摘要Background Hemorrhagic fever with renal syndrome (HFRS) poses a significant public health concern in China. However, the spatiotemporal patterns and underlying drivers of its transmission are not fully understood. This study aims to investigate spatiotemporal heterogeneity of HFRS incidence at the city level and explore its potential influencing factors. Methods Joinpoint regression was utilized to analyze city-level HFRS incidence data (n = 314 cities, 2005-2021) collected from the National Infectious Disease Surveillance System. Furthermore, we employed the Geodetector method to identify the potential driving factors from a set of meteorological, vegetation, and urbanization variables. Results The results from Joinpoint regression analysis revealed an overall declining trend in city-level HFRS incidence across China from 2005 to 2021. Of the cities analyzed, 126 showed an upward trend [the average annual percent change,(AAPC) > 0], 176 a downward trend (AAPC < 0), and 12 remained stable (AAPC = 0). Notably, upward-trend cities were predominantly concentrated in South China. Geodetector analysis indicated that selected climatic and vegetation factors accounted for 19-56% of the spatiotemporal heterogeneity in HFRS incidence, whereas urbanization factors explained only 3-5%. However, synergistic interactions between temperature and urbanization-related variables (i.e., land-use, economic, and demographic dimensions) significantly enhanced their explanatory power, particularly in upward-trend cities, where the combinations increased explanatory capacity by 124-184%. Conclusion In summary, while climatic and vegetation factors remain the primary drivers of the spatiotemporal heterogeneity of HFRS epidemics in China, urbanization also exerts non-negligible influence on city-level incidence. This research offers valuable insights for public health authorities to strengthen their intervention capabilities against this disease.
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WOS关键词TRANSMISSION
WOS研究方向Infectious Diseases ; Parasitology ; Tropical Medicine
语种英语
WOS记录号WOS:001595189900001
出版者BMC
源URL[http://ir.igsnrr.ac.cn/handle/311030/217507]  
专题资源与环境信息系统国家重点实验室_外文论文
通讯作者Ren, Hongyan; Shi, Runhe
作者单位1.East China Normal Univ, Sch Geog Sci, Shanghai 200241, Peoples R China;
2.East China Normal Univ, Joint Lab Environm Remote Sensing & Data Assimilat, Shanghai 200241, Peoples R China;
3.Chinese Ctr Dis Control & Prevent, Natl Inst Communicable Dis Control & Prevent, Natl Key Lab Intelligent Tracking & Forecasting In, Beijing 102206, Peoples R China
4.East China Normal Univ, Key Lab Geog Informat Sci, Minist Educ, Shanghai 200241, Peoples R China;
5.Chinese Acad Sci, State Key Lab Resources & Environm Informat Syst, Inst Geog Sci & Nat Resources Res, Beijing 100101, Peoples R China;
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GB/T 7714
Wei, Qi,Ren, Hongyan,Lu, Liang,et al. Non-negligible impacts of urbanization on spatiotemporal variations of infectious disease: a case study of hemorrhagic fever with renal syndrome epidemics in China[J]. INFECTIOUS DISEASES OF POVERTY,2025,14(1):104.
APA Wei, Qi,Ren, Hongyan,Lu, Liang,&Shi, Runhe.(2025).Non-negligible impacts of urbanization on spatiotemporal variations of infectious disease: a case study of hemorrhagic fever with renal syndrome epidemics in China.INFECTIOUS DISEASES OF POVERTY,14(1),104.
MLA Wei, Qi,et al."Non-negligible impacts of urbanization on spatiotemporal variations of infectious disease: a case study of hemorrhagic fever with renal syndrome epidemics in China".INFECTIOUS DISEASES OF POVERTY 14.1(2025):104.

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来源:地理科学与资源研究所

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