hh.transmission

Simulated data under the SIR model, without covariates.

We build an Susceptible-Infectious-Recovered (SIR) model where the rate of infection is the sum of the household rate and the community rate. We estimate the posterior distribution of the parameters using the Metropolis algorithm. Further details may be found in: F Scott Dahlgren, Ivo M Foppa, Melissa S Stockwell, Celibell Y Vargas, Philip LaRussa, Carrie Reed (2021) "Household transmission of influenza A and B within a prospective cohort during the 2013-2014 and 2014-2015 seasons" <doi:10.1002/sim.9181>.

F Dahlgren

SIRmcmc

Compartmental Susceptible-Infectious-Recovered (SIR) Model of
Community and Household Infection

hh.transmission function

A data frame with 1000 observations on the following 3 variables.<dl>
 <dt><code>household</code></dt>
<dd>A numeric vector of household IDs.</dd> <dt><code>onset</code></dt>
<dd>Date of onset for cases</dd> <dt><code>transmission</code></dt>
<dd>A factor with levels <code>Community</code>
 <code>Household</code> <code>None</code> representing source of infection.</dd> 
</dl>

Format

Simulated data under the SIR. — hh.transmission

A data frame with 1000 observations on the following 3 variables.<dl>
 <dt><code>household</code></dt>
<dd>A numeric vector of household IDs.</dd>

 <dt><code>onset</code></dt>
<dd>Date of onset for cases</dd>

 <dt><code>transmission</code></dt>
<dd>A factor with levels <code>Community</code>
 <code>Household</code> <code>None</code> representing source of infection.</dd>

 
</dl>

hh.transmission: Simulated data under the SIR.

Description

Usage

Arguments

Format