swMATH ID: 21015
Software Authors: Merl, Daniel; Johnson, Leah R.; Gramacy, Robert B.; Mangel, Marc S.
Description: 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.
Homepage: https://cran.r-project.org/web/packages/amei/index.html
Source Code:  https://github.com/cran/amei
Dependencies: R
Related Software: R; RladyBug; R0; tscount; Surveillance; EpiModel; stochasticGEM; epiR; epibasix; epicalc; Epi; epitools; knitr; animation; memoise; scales; quadprog; survival; lattice; xts
Cited in: 0 Documents

Standard Articles

1 Publication describing the Software Year
amei: An R Package for the Adaptive Management of Epidemiological Interventions Link
Daniel Merl; Leah Johnson; Robert Gramacy; Marc Mangel