OutOfUnitInfectionParams

Provides Bayesian inference methods for infectious disease transmission
models in healthcare settings. Implements Markov Chain Monte Carlo (MCMC) algorithms
for estimating transmission parameters from patient-level data including admission,
discharge, and testing events as described in Thomas 'et al.' (2015) <doi:10.1093/imammb/dqt021>.

Andrew Redd

bayestransmission

Bayesian Transmission Models

Alun Thomas

University of Utah 

CDC's Center for Forecasting and Outbreak Analytics 

OutOfUnitInfectionParams function

<dl><dt>acquisition</dt>
<dd>Rate of acquisition of the disease moving into latent state.</dd>
<dt>clearance</dt>
<dd>Rate of clearance of the disease moving into uncolonized state.</dd>
<dt>progression</dt>
<dd>Rate of progression of the disease moving into colonized state.</dd></dl>

Arguments

Out of Unit Infection Parameters — OutOfUnitInfectionParams

<dl>

<dt>acquisition</dt>
<dd>Rate of acquisition of the disease moving into latent state.</dd>


<dt>clearance</dt>
<dd>Rate of clearance of the disease moving into uncolonized state.</dd>


<dt>progression</dt>
<dd>Rate of progression of the disease moving into colonized state.</dd>

</dl>

OutOfUnitInfectionParams: Out of Unit Infection Parameters

Description

Usage

Value

Arguments

Examples