Published by the Foundation for Open Access Statistics Editors-in-chief: Bettina Grün, Torsten Hothorn, Rebecca Killick, Edzer Pebesma, Achim Zeileis    ISSN 1548-7660; CODEN JSSOBK
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Authors: Daniel Merl, Leah R. Johnson, Robert B. Gramacy, Marc Mangel
Title: amei: An R Package for the Adaptive Management of Epidemiological Interventions
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.

Page views:: 3213. Submitted: 2009-06-22. Published: 2010-08-05.
Paper: amei: An R Package for the Adaptive Management of Epidemiological Interventions     Download PDF (Downloads: 2499)
amei_1.0-4.tar.gz: R source package Download (Downloads: 788; 550KB)
v36i06.R: R example code from the paper Download (Downloads: 851; 11KB)

DOI: 10.18637/jss.v036.i06

This work is licensed under the licenses
Paper: Creative Commons Attribution 3.0 Unported License
Code: GNU General Public License (at least one of version 2 or version 3) or a GPL-compatible license.