The R0 package implements several documented methods for estimating reproduction numbers from incidence data. Authors Pierre-Yves Boelle and Thomas Obadia developed tools for calculating both basic (R0) and real-time (R(t)) reproduction numbers with confidence intervals. Sensitivity analysis tools allow investigation of the effects of varying generation time distributions or time windows.
Use Cases
- Compare basic reproduction number estimates based on different documented methods.
- Track real-time reproduction number (R(t) variations) throughout an outbreak period.
- Perform sensitivity analysis based on varying generation time distributions.
- Generate epidemic curve plots and adjusted model visualizations.
- Calculate 95% confidence intervals for reproduction number estimates.
Strengths
- Provides multiple documented estimation methods for comparison.
- Calculates both basic (R0) and real-time (R(t)) reproduction numbers.
- Includes sensitivity analysis tools for investigating parameter effects.
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
- paperswithcode
- Collection Method
- Software package implementing statistical methods.