Abstract
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) |
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Pages (from-to) | 1623-1625 |
Number of pages | 3 |
Journal | Emerging infectious diseases |
Volume | 15 |
Issue number | 10 |
DOIs | |
State | Published - Oct 2009 |
ASJC Scopus subject areas
- Epidemiology
- Microbiology (medical)
- Infectious Diseases