process_vac_data

This function takes the vaccination schedule given by a data.table and prepares
it according to the required structure needed in <code>meta_sim()</code> function

internal

Simulates respiratory virus epidemics using meta-population compartmental models following Fadikar et. al. (2025) <doi:10.1101/2025.05.05.25327021>. 'MetaRVM' implements a stochastic
SEIRD (Susceptible-Exposed-Infected-Recovered-Dead) framework with demographic
stratification by age, race, and geographic zones. It supports complex
epidemiological scenarios including asymptomatic and presymptomatic transmission,
hospitalization dynamics, vaccination schedules, and time-varying contact patterns
via mixing matrices.

Arindam Fadikar

MetaRVM

Meta-Population Compartmental Model for Respiratory Virus
Diseases

Charles Macal

Martinez Moyano Ignacio Javier

Ozik Jonathan

process_vac_data function

<dl><dt>vac_dt</dt>
<dd>A data.table of vaccination schedule</dd>
<dt>sim_start_date</dt>
<dd>A calendar date in the format yyyy-mm-dd</dd>
<dt>sim_length</dt>
<dd>Number of calendar days that the simulation runs for</dd>
<dt>delta_t</dt>
<dd>Step size in the simulation</dd></dl>

Arguments

Read and prepare vaccination data — process_vac_data

<dl>

<dt>vac_dt</dt>
<dd>A data.table of vaccination schedule</dd>


<dt>sim_start_date</dt>
<dd>A calendar date in the format yyyy-mm-dd</dd>


<dt>sim_length</dt>
<dd>Number of calendar days that the simulation runs for</dd>


<dt>delta_t</dt>
<dd>Step size in the simulation</dd>

</dl>

process_vac_data: Read and prepare vaccination data

Description

Usage

Value

Arguments