A case study analyzing spatial-contact networks to detect the spatial risk of SAR epidemics in Beijing in 2003 is presented. The data used in the study from a survey of 2,444 SARS patients in Beijing, was conducted by the Beijing Centers for Disease Control and Prevention and covering the period from 1 March 2003 to 7 June 2003. To analyze the spatial patterns and understand the complexity of spatial transmission risks, home addresses were adopted as the spatial locations for cases. The data set confirmed 624 SARS patients with records of detailed patient contact relationships. The results reveal that SARS transmission is anisotropic in Beijing. The city center has the highest risk of SARS epidemic, and the risk in the east is significantly higher than that in other directions. It was found that the spatial-risk detection results of spatial-contact networks were largely consistent with results based on local spatial association.
|Original language||English (US)|
|Number of pages||6|
|Journal||IEEE Intelligent Systems|
|State||Published - Nov 2009|
ASJC Scopus subject areas
- Computer Networks and Communications
- Artificial Intelligence