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.
|Original language||English (US)|
|Number of pages||3|
|Journal||Emerging infectious diseases|
|State||Published - Oct 2009|
ASJC Scopus subject areas
- Microbiology (medical)
- Infectious Diseases