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amei: An R Package for the Adaptive Management of Epidemiological Interventions

Author

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  • Merl, Daniel
  • Johnson, Leah R.
  • Gramacy, Robert B.
  • Mangel, Marc

Abstract

The amei package for R is a tool that provides a flexible statistical framework for generating optimal epidemiological interventions that are designed to minimize the total expected cost of an emerging epidemic. Uncertainty regarding the underlying disease parameters is propagated through to the decision process via Bayesian posterior inference. The strategies produced through this framework are adaptive: vaccination schedules are iteratively adjusted to reflect the anticipated trajectory of the epidemic given the current population state and updated parameter estimates. This document briefly covers the background and methodology underpinning the implementation provided by the package and contains extensive examples showing the functions and methods in action.

Suggested Citation

  • Merl, Daniel & Johnson, Leah R. & Gramacy, Robert B. & Mangel, Marc, 2010. "amei: An R Package for the Adaptive Management of Epidemiological Interventions," Journal of Statistical Software, Foundation for Open Access Statistics, vol. 36(i06).
    • Handle: RePEc:jss:jstsof:v:036:i06
    DOI: http://hdl.handle.net/10.18637/jss.v036.i06
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    Cited by:

    1. Edwin van Leeuwen & Petra Klepac & Dominic Thorrington & Richard Pebody & Marc Baguelin, 2017. "fluEvidenceSynthesis: An R package for evidence synthesis based analysis of epidemiological outbreaks," PLOS Computational Biology, Public Library of Science, vol. 13(11), pages 1-12, November.
    2. Meyer, Sebastian & Held, Leonhard & Höhle, Michael, 2017. "Spatio-Temporal Analysis of Epidemic Phenomena Using the R Package surveillance," Journal of Statistical Software, Foundation for Open Access Statistics, vol. 77(i11).

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