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http://hdl.handle.net/1942/36417
Title: | EpiLPS: a fast and flexible Bayesian tool for near real-time estimation of the time-varying reproduction number | Authors: | GRESSANI, Oswaldo Wallinga, Jacco Althaus, Christian HENS, Niel FAES, Christel |
Issue Date: | 2021 | Abstract: | The instantaneous reproduction number R(t) is a key metric that provides important insights into an epidemic outbreak. We present a flexible Bayesian approach called EpiLPS (Epidemi-ological modeling with Laplacian-P-splines) for smooth estimation of the epidemic curve and R(t). Computational speed and absence of arbitrary assumptions on smoothing makes EpiLPS an interesting tool for near real-time estimation of the reproduction number. An R software package is available (https://github.com/oswaldogressani). | Document URI: | http://hdl.handle.net/1942/36417 | DOI: | 10.1101/2021.12.02.21267189 | Category: | O | Type: | Preprint |
Appears in Collections: | Research publications |
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File | Description | Size | Format | |
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preprint.pdf | Non Peer-reviewed author version | 2.73 MB | Adobe PDF | View/Open |
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