R package amei: Adaptive Management of Epidemiological Interventions. This package provides a flexible statistical framework for generating optimal epidemiological interventions that are designed to minimize the total expected cost of an emerging epidemic while simultaneously propagating uncertainty regarding underlying disease parameters 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.
Keywords for this software
References in zbMATH (referenced in 3 articles , 1 standard article )
Showing results 1 to 3 of 3.
- Sebastian Meyer and Leonhard Held and Michael Höhle: Spatio-Temporal Analysis of Epidemic Phenomena Using the R Package surveillance (2017) not zbMATH
- Stefan Widgren, Pavol Bauer, Stefan Engblom: SimInf: An R package for Data-driven Stochastic Disease Spread Simulations (2016) arXiv
- Daniel Merl; Leah Johnson; Robert Gramacy; Marc Mangel: amei: An R Package for the Adaptive Management of Epidemiological Interventions (2010) not zbMATH