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<title>Using stochastic individual compartment models (ICMs) to simulate COVID-19 spread • sirplus</title>
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<a href="#sirplus" class="anchor"></a>sirplus</h1></div>
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<p>sirplus is a package for the modeling of COVID-19 spread using stochastic individual compartment models (ICMs). The model implemented extends the classical Susceptible-Infectious-Recovered (SIR) model by adding compartments for Exposed, Quarantined, Hospitalised and Case Fatality individuals. The package provides a simple interface for creating experiments to demonstrate how factors like social-distancing and epidemiological parameters will change the curve.</p>
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<p>To view the vignette install the package then:</p>
<pre><code><a href="https://devtools.r-lib.org//reference/install.html">devtools::install(build_vignettes=TRUE)
library(sirplus)
browseVignettes("sirplus") </a></code></pre>
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<li>Puxue Qiao <br><small class="roles"> Author, maintainer </small> <a href="https://orcid.org/0000-0002-1521-9086" target="orcid.widget" aria-label="ORCID"><span class="fab fa-orcid orcid" aria-hidden="true"></span></a> </li>
<li>Christina Azodi <br><small class="roles"> Author, maintainer </small> <a href="https://orcid.org/0000-0002-6097-606X" target="orcid.widget" aria-label="ORCID"><span class="fab fa-orcid orcid" aria-hidden="true"></span></a> </li>
<li>Ruqian Lyu <br><small class="roles"> Author </small> <a href="https://orcid.org/0000-0002-7736-6612" target="orcid.widget" aria-label="ORCID"><span class="fab fa-orcid orcid" aria-hidden="true"></span></a> </li>
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<p>Developed by Puxue Qiao, Christina Azodi, Ruqian Lyu, Sam Tanner, Tim Churches, Davis McCarthy.</p>