Spatio-temporal evolution of Beijing 2003 SARS epidemic
文献类型:期刊论文
作者 | Cao ZhiDong1![]() ![]() ![]() ![]() |
刊名 | SCIENCE CHINA-EARTH SCIENCES
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出版日期 | 2010-07-01 |
卷号 | 53期号:7页码:1017-1028 |
关键词 | severe acute respiratory syndrome (SARS) Beijing morbidity rate spatial analysis spatio-temporal evolution control measures |
英文摘要 | Studying spatio-temporal evolution of epidemics can uncover important aspects of interaction among people, infectious diseases, and the environment, providing useful insights and modeling support to facilitate public health response and possibly prevention measures. This paper presents an empirical spatio-temporal analysis of epidemiological data concerning 2321 SARS-infected patients in Beijing in 2003. We mapped the SARS morbidity data with the spatial data resolution at the level of street and township. Two smoothing methods, Bayesian adjustment and spatial smoothing, were applied to identify the spatial risks and spatial transmission trends. Furthermore, we explored various spatial patterns and spatio-temporal evolution of Beijing 2003 SARS epidemic using spatial statistics such as Moran's I and LISA. Part of this study is targeted at evaluating the effectiveness of public health control measures implemented during the SARS epidemic. The main findings are as follows. (1) The diffusion speed of SARS in the northwest-southeast direction is weaker than that in northeast-southwest direction. (2) SARS's spread risk is positively spatially associated and the strength of this spatial association has experienced changes from weak to strong and then back to weak during the lifetime of the Beijing SARS epidemic. (3) Two spatial clusters of disease cases are identified: one in the city center and the other in the eastern suburban area. These two clusters followed different evolutionary paths but interacted with each other as well. (4) Although the government missed the opportunity to contain the early outbreak of SARS in March 2003, the response strategies implemented after the mid of April were effective. These response measures not only controlled the growth of the disease cases, but also mitigated the spatial diffusion. |
WOS标题词 | Science & Technology ; Physical Sciences |
类目[WOS] | Geosciences, Multidisciplinary |
研究领域[WOS] | Geology |
关键词[WOS] | ACUTE RESPIRATORY SYNDROME ; DYNAMICS ; URBAN ; TRANSMISSION ; CORONAVIRUS ; OUTBREAK ; ISSUES ; CHINA |
收录类别 | SCI |
语种 | 英语 |
WOS记录号 | WOS:000279841400009 |
源URL | [http://ir.ia.ac.cn/handle/173211/3583] ![]() |
专题 | 自动化研究所_复杂系统管理与控制国家重点实验室_先进控制与自动化团队 |
作者单位 | 1.Chinese Acad Sci, Key Lab Complex Syst & Intelligence Sci, Inst Automat, Beijing 100190, Peoples R China 2.Beijing Ctr Dis Control & Prevent, Beijing 100013, Peoples R China 3.Chinese Acad Sci, State Key Lab Resources & Environm Informat Syst, Inst Geog Sci & Nat Resources Res, Beijing 100101, Peoples R China |
推荐引用方式 GB/T 7714 | Cao ZhiDong,Zeng DaJun,Zheng XiaoLong,et al. Spatio-temporal evolution of Beijing 2003 SARS epidemic[J]. SCIENCE CHINA-EARTH SCIENCES,2010,53(7):1017-1028. |
APA | Cao ZhiDong.,Zeng DaJun.,Zheng XiaoLong.,Wang QuanYi.,Wang FeiYue.,...&Wang XiaoLi.(2010).Spatio-temporal evolution of Beijing 2003 SARS epidemic.SCIENCE CHINA-EARTH SCIENCES,53(7),1017-1028. |
MLA | Cao ZhiDong,et al."Spatio-temporal evolution of Beijing 2003 SARS epidemic".SCIENCE CHINA-EARTH SCIENCES 53.7(2010):1017-1028. |
入库方式: OAI收割
来源:自动化研究所
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