元人群网络的流行病学地理概况分析
Epidemiological geographic profiling for a meta-population network
摘要：
流行病学地理分析是一种统计方法，用于从患者的地理分布推断可能的来源区域。流行病学地理分析算法的开发，以定位一个源的数据集上的新病例的数量为一个元人口网络模型。根据世卫有关SARS爆发的数据，在整个观察期内，香港仍然是最有可能的源头。在中国报告的可能病例数量缺失、不可靠和不全面的有限情况下，这种推理是相关的。这也可能意味着，与全球相连的香港作为传播者比中国更有影响力。新加坡、台湾、加拿大和美国紧随香港之后。
英文摘要：
Epidemiological geographic profiling is a statistical method for making inferences about likely areas of a source from the geographical distribution of patients. Epidemiological geographic profiling algorithms are developed to locate a source from the dataset on the number of new cases for a meta-population network model. It is found from the WHO dataset on the SARS outbreak that Hong Kong remains the most likely source throughout the period of observation. This reasoning is pertinent under the restricted circumstance that the number of reported probable cases in China was missing, unreliable, and incomprehensive. It may also imply that globally connected Hong Kong was more influential as a spreader than China. Singapore, Taiwan, Canada, and the United States follow Hong Kong in the likeliness ranking list.
机构、总结、中文摘要均由AI分析而来，可能存在错误，请以论文正文为准。
