Appropriately smoothing prevalence data to inform estimates of growth rate and reproduction number

Appropriately smoothing prevalence data to inform estimates of growth rate and reproduction number

The time-varying reproduction number (Rt) can change rapidly over the course of a pandemic due to changing restrictions, behaviours, and levels of population immunity. Many methods exist that allow the estimation of Rt from case data. However, these are not easily adapted to point prevalence data no...

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Bibliographic Details
Main Authors: Ainslie, K.E.C (Author), Ashby, D. (Author), Atchison, C. (Author), Barclay, W. (Author), Cooke, G. (Author), Darzi, A. (Author), Donnelly, C.A (Author), Eales, O. (Author), Elliott, P. (Author), Riley, S. (Author), Walters, C.E (Author), Wang, H. (Author), Ward, H. (Author)
Format: Article
Language:English
Published: Elsevier B.V. 2022
Subjects:
Bayesian P-spline
COVID-19
Cross-sectional study
Reproduction number
SARS-CoV-2
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