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) |
|---|---|
| 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