Fine-scale Identification of the Most Likely Source of a Human Plague Infection
EMERGING INFECTIOUS DISEASES(2009)
摘要
We describe an analytic approach to provide fine-scale discrimination among multiple infection source hypotheses. This approach uses mutation-rate data for rapidly evolving multiple locus variable-number tandem repeat loci in probabilistic models to identify the most likely source. We illustrate the utility of this approach using data from a North American human plague investigation.
更多查看译文
关键词
Molecular epidemiology,plague,Yersinia pestis,VNTR,MLVA,probabilistic modeling
AI 理解论文
溯源树
样例
生成溯源树,研究论文发展脉络