secondary_attack_rate

Using the value of a call to
 <code>household_transmission</code>, computes the secondary attack
 rate for households.

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

secondary_attack_rate function

<dl> <dt>household_size</dt>
<dd>A numeric vector containing the number of people in a household.</dd> <dt>SIRmcmc</dt>
<dd>The value of a call to <code>household_transmission</code>.</dd> <dt>probs</dt>
<dd>A numeric vector of the quantiles of the posterior distribution. The
 default is the median and the central 95% credible region.</dd></dl>

Arguments

Compute the secondary attack rate — secondary_attack_rate

<dl>

 <dt>household_size</dt>
<dd>A numeric vector containing the number of people in a household.</dd>

 <dt>SIRmcmc</dt>
<dd>The value of a call to <code>household_transmission</code>.</dd>

 <dt>probs</dt>
<dd>A numeric vector of the quantiles of the posterior distribution. The
 default is the median and the central 95% credible region.</dd>

</dl>

secondary_attack_rate: Compute the secondary attack rate

Description

Usage

Value

Arguments

Details