amei-package {amei}R Documentation

Adaptive Management of Epidemiological Interventions

Description

This package provides a flexible statistical framework for generating optimal epidemiological interventions. The aim is 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.

Details

Package: amei
Type: Package
Version: 1.0
Date: 2008-10-20
License: GPL
LazyLoad: yes

Author(s)

Daniel Merl <dan@stat.duke.edu>, Leah R. Johnson <leah@statslab.cam.ac.uk>, Robert B. Gramacy <bobby@statslab.cam.ac.uk>, and Mark S. Mangel <msmangl@ams.ucsc.edu>

Maintainer: Robert B. Gramacy <bobby@statslab.cam.ac.uk>

References

A statistical framework for the adaptive management of epidemiological interventions (2008). Daniel Merl, Leah R. Johnson, Robert B. Gramacy, and Marc S. Mangel. Duke Working Paper 08-29. http://ftp.stat.duke.edu/WorkingPapers/08-29.html


[Package amei version 1.0 Index]