Literature DB >> 32288761

Spatio-temporal evolution of Beijing 2003 SARS epidemic.

ZhiDong Cao1, DaJun Zeng1, XiaoLong Zheng1, QuanYi Wang2, FeiYue Wang1, JinFeng Wang3, XiaoLi Wang2.   

Abstract

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. © Science China Press and Springer-Verlag Berlin Heidelberg 2010.

Entities:  

Keywords:  Beijing; control measures; morbidity rate; severe acute respiratory syndrome (SARS); spatial analysis; spatio-temporal evolution

Year:  2010        PMID: 32288761      PMCID: PMC7104599          DOI: 10.1007/s11430-010-0043-x

Source DB:  PubMed          Journal:  Sci China Earth Sci            Impact factor:   4.368


  17 in total

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10.  Severe Acute Respiratory Syndrome (SARS) and the GDP. Part I : Epidemiology, virology, pathology and general health issues.

Authors:  R W K Li; K W C Leung; F C S Sun; L P Samaranayake
Journal:  Br Dent J       Date:  2004-07-24       Impact factor: 1.626

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4.  Spatial Statistics and Influencing Factors of the COVID-19 Epidemic at Both Prefecture and County Levels in Hubei Province, China.

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  4 in total

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