Data-driven exploration of 'spatial pattern-time process-driving forces' associations of SARS epidemic in Beijing, China
文献类型：SCI/SSCI论文
| 作者 | Wang J. F. ; Christakos G. ; Han W. G. ; Meng B. |
| 发表日期 | 2008 |
| 关键词 | associations determinants epidemic SARS spatial pattern statistics time evolution acute respiratory syndrome transmission dynamics infectious-disease diffusion process hong-kong health coronavirus metaanalysis uncertainty framework |
| 英文摘要 | Background Severe Acute Respiratory Syndrome (SARS) was first reported in November 2002 in China, and spreads to about 30 countries over the next few months. While the characteristics of epidemic transmission are individually assessed, there are also important implicit associations between them. Methods A novel methodological framework was developed to overcome barriers among separate epidemic statistics and identify distinctive SARS features. Individual statistics were pair-wise linked in terms of their common features, and an integrative epidemic network was formulated. Results The study of associations between important SARS characteristics considerably enhanced the mainstream epidemic analysis and improved the understanding of the relationships between the observed epidemic determinants. The response of SARS transmission to various epidemic control factors was simulated, target areas were detected, critical time and relevant factors were determined. Conclusion It was shown that by properly accounting for links between different SARS statistics, a data-based analysis can efficiently reveal systematic associations between epidemic determinants. The analysis can predict the temporal trend of the epidemic given its spatial pattern, to estimate spatial exposure given temporal evolution, and to infer the driving forces of SARS transmission given the spatial exposure distribution. |
| 出处 | Journal of Public Health |
| 卷 | 30 |
| 期 | 3 |
| 页 | 234-244 |
| 收录类别 | SCI |
| 语种 | 英语 |
| ISSN号 | 1741-3842 |
| 源URL | [http://ir.igsnrr.ac.cn/handle/311030/22931]  |
| 专题 | 地理科学与资源研究所_历年回溯文献 |
| 推荐引用方式 GB/T 7714 | Wang J. F.,Christakos G.,Han W. G.,et al. Data-driven exploration of 'spatial pattern-time process-driving forces' associations of SARS epidemic in Beijing, China. 2008. |
入库方式： OAI收割
来源：地理科学与资源研究所
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