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. [Online]. Zenodo. Available from: https://doi.org/10.5281/zenodo.13828203
Abbott, S, Hellewell, J, Sherratt, K, Gostic, K, Hickson, J, Badr, HS, DeWitt, M, Azam, JM, EpiForecasts and Funk, S. EpiNow2: Estimate Real-Time Case Counts and Time-Varying Epidemiological Parameters [Internet]. Zenodo; 2024. Available from: https://doi.org/10.5281/zenodo.13828203
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. [Data Collection]. Zenodo. https://doi.org/10.5281/zenodo.13828203
Description
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
Data capture method | Other |
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Date (Date published in a 3rd party system) | 23 September 2024 |
Language(s) of written materials | English |
Data Creators | Abbott, S, Hellewell, J, Sherratt, K, Gostic, K, Hickson, J, Badr, HS, DeWitt, M, Azam, JM, EpiForecasts and Funk, S |
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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 |
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Last Modified | 02 Oct 2024 17:35 |
Publisher | Zenodo |