EpiNow2: Estimates of Time-Varying Reproduction Number and Infection Spread

EpiNow2 is a framework for estimating real-time infection dynamics, including the time-varying reproduction number, rate of spread, and doubling time. It is based on open-source tools and current best practices from cited academic literature. The framework aims to help users avoid limitations of naive implementations and is informed by community feedback.

Use Cases

• Estimating the time-varying reproduction number (Rt) for an outbreak based on the described methodology.
• Forecasting infection spread and doubling time using the framework's best practices.
• Comparing epidemiological model outputs against naive implementations to avoid described limitations.

Strengths

• Methodology is informed by cited academic literature from Abbott et al. (2020) and Gostic et al. (2020).
• Framework is designed to avoid limitations of naive implementations.
• Development is informed by community feedback and is actively supported.

Limitations

• Column-level documentation is absent; field semantics must be inferred after download.
• Row count is unknown, which may limit suitability assessment.
• Last update date is unknown; freshness unverified.

Provenance

Source

Sam Abbott, via paperswithcode.

Collection Method

Framework for estimation and forecasting, based on cited open-source tools and best practices.

Time Range

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Freshness

Last updated date is unknown.

Geography

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