EpiNow2: Estimate Real-Time Case Counts and Time-Varying Epidemiological Parameters
Abbott, S
, Hellewell, J, Sherratt, K, Gostic, K, Hickson, J, Badr, HS, DeWitt, M, Azam, JM, EpiForecasts and Funk, S
(2024).
EpiNow2: Estimate Real-Time Case Counts and Time-Varying Epidemiological Parameters.
[Dataset].
Zenodo.
https://doi.org/10.5281/zenodo.13828203
, Hellewell, J, Sherratt, K, Gostic, K, Hickson, J, Badr, HS, DeWitt, M, Azam, JM, EpiForecasts and Funk, S
(2024).
EpiNow2: Estimate Real-Time Case Counts and Time-Varying Epidemiological Parameters.
[Dataset].
Zenodo.
https://doi.org/10.5281/zenodo.13828203
Estimates the time-varying reproduction number, rate of spread, and doubling time using a range of open-source tools (Abbott et al. (2020), and current best practices (Gostic et al. (2020). It aims to help users avoid some of the limitations of naive implementations in a framework that is informed by community feedback and is actively supported.
Keywords
COVID-19| Item Type | Dataset |
|---|---|
| Capture method | Other |
| Date | 23 September 2024 |
| Language(s) of written materials | English |
| Creator(s) |
Abbott, S, Hellewell, J, Sherratt, K, Gostic, K, Hickson, J, Badr, HS, DeWitt, M, Azam, JM, EpiForecasts and Funk, S
|
| LSHTM Faculty/Department | Faculty of Epidemiology and Population Health > Dept of Infectious Disease Epidemiology & Dynamics (2023-) |
| Participating Institutions | London School of Hygiene & Tropical Medicine, London, United Kingdom |
| Date Deposited | 02 Oct 2024 17:30 |
| Last Modified | 25 Feb 2025 18:24 |
| Publisher | Zenodo |
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