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, 𝑅<sub>𝑡</sub>. Real-time or retrospective identification of changes in 𝑅<sub>𝑡</sub> following the imposition or relaxation of interventions ca...
| Main Authors: | , , , , , |
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| Format: | Journal article |
| Language: | English |
| Published: |
Elsevier
2022
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