A Bayesian nonparametric method for detecting rapid changes in disease transmission
Whether an outbreak of infectious disease is likely to grow or dissipate is determined through the time-varying reproduction number, Rt. Real-time or retrospective identification of changes in Rt following the imposition or relaxation of interventions can thus contribute important evidence about dis...
| Main Authors: | , , , , , |
|---|---|
| Format: | Internet publication |
| Language: | English |
| Published: |
2022
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