Abstract
For Salmonella enterica serovar Enteritidis, 85% of isolates can be classified into 5 pulsed-field gel electrophoresis (PFGE) types. However, PFGE has limited discriminatory power for outbreak detection. Although whole-genome sequencing has been found to improve discrimination of outbreak clusters, whether this procedure can be used in real-time in a public health laboratory is not known. Therefore, we conducted a retrospective and prospective analysis. The retrospective study investigated isolates from 1 confirmed outbreak. Additional cases could be attributed to the outbreak strain on the basis of whole-genome data. The prospective study included 58 isolates obtained in 2012, including isolates from 1 epidemiologically defined outbreak. Whole-genome sequencing identified additional isolates that could be attributed to the outbreak, but which differed from the outbreak-associated PFGE type. Additional putative outbreak clusters were detected in the retrospective and prospective analyses. This study demonstrates the practicality of implementing this approach for outbreak surveillance in a state public health laboratory.
| Original language | English (US) |
|---|---|
| Pages (from-to) | 1306-1314 |
| Number of pages | 9 |
| Journal | Emerging infectious diseases |
| Volume | 20 |
| Issue number | 8 |
| DOIs | |
| State | Published - 2014 |
All Science Journal Classification (ASJC) codes
- Epidemiology
- Microbiology (medical)
- Infectious Diseases
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