Published February 9, 2026
| Version v1.8.0
Software
Open
EpiNow2: Estimate and Forecast Real-Time Infection Dynamics
Description
Estimates the time-varying reproduction number, rate of spread, and doubling time using a renewal equation approach combined with Bayesian inference via Stan. Supports Gaussian process and random walk priors for modelling changes in transmission over time. Accounts for delays between infection and observation (incubation period, reporting delays), right-truncation in recent data, day-of-week effects, and observation overdispersion. Can estimate relationships between primary and secondary outcomes (e.g., cases to hospitalisations or deaths) and forecast both. Runs across multiple regions in parallel. Based on Abbott et al. (2020) and Gostic et al. (2020) .
Notes
To cite package "EpiNow2" in publications use:
Files
epiforecasts/EpiNow2-v1.8.0.zip
Files
(4.9 MB)
| Name | Size | Download all |
|---|---|---|
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md5:badc8311548c2863bce2d4fbe669d7a5
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4.9 MB | Preview Download |
Additional details
Related works
- Is supplement to
- Software: https://github.com/epiforecasts/EpiNow2/tree/v1.8.0 (URL)
Software
- Repository URL
- https://github.com/epiforecasts/EpiNow2