EpiEstim is a tool to estimate the time-varying instantaneous reproduction number during epidemics. To install the latest version, use:

install.packages('EpiEstim', repos = c('https://mrc-ide.r-universe.dev', 'https://cloud.r-project.org'))

Please see https://mrc-ide.github.io/EpiEstim/ for vignettes with worked examples, FAQs and details about how EpiEstim can be used alongside some other R packages in an outbreak analysis workflow.

Anne Cori, Neil M. Ferguson, Christophe Fraser, Simon Cauchemez, A New Framework and Software to Estimate Time-Varying Reproduction Numbers During Epidemics, American Journal of Epidemiology, Volume 178, Issue 9, 1 November 2013, Pages 1505–1512.

 @article{Cori2013,
 author={Cori, A and Ferguson, NM and Fraser, C and Cauchemez, S},  
 year={2013},  
 title={{A New Framework and Software to Estimate Time-Varying Reproduction Numbers During Epidemics}},  
 journal={Am. J. Epidemiol.},  
 doi={10.1093/aje/kwt133},  
}

Thompson RN, Stockwin JE, van Gaalen RD, Polonsky JA, Kamvar ZN, Demarsh PA, et al. Improved inference of time-varying reproduction numbers during infectious disease outbreaks, Epidemics, Volume 29, 1 December 2019, 100356.

Nash RK, Nouvellet P, Cori A. Real-time estimation of the epidemic reproduction number: Scoping review of the applications and challenges, PLOS Digital Health, Volume 1, Issue 6, 27 June 2022, e0000052.

Bhatia S, Wardle J, Nash RK, Nouvellet P, Cori A. Extending EpiEstim to estimate the transmission advantage of pathogen variants in real-time: SARS-CoV-2 as a case-study, Epidemics, 21 June 2023, 100692.

Nash RK, Cori A, Nouvellet P. Estimating the epidemic reproduction number from temporally aggregated incidence data: a statistical modelling approach and software tool, PLOS Computational Biology, Volume 19, Issue 8, 28 August 2023, e1011439.

We kindly request that you cite this codebase as follows (BibTeX format):

@misc{Cori2022,
 author={Cori, A and Kamvar, ZN and Stockwin, J and Jombart, T and Dahlqwist, E and FitzJohn, R and Thompson, R and Nash, RK and Wardle, J and Bhatia, S},  
 year={2022},  
 title={{EpiEstim v2.2-4: A tool to estimate time varying instantaneous reproduction number during epidemics}},  
 publisher={GitHub},
 journal={GitHub repository},  
 howpublished = {\url{https://github.com/mrc-ide/EpiEstim}},  
}