norway_seiiar_noinfected_2017

SEIIaR data.frame for Norway with no one infected and everyone susceptible.

datasets

A stochastic SEIIaR (susceptible, exposed, infectious, infectious asymptomatic, recovered) metapopulation model that including commuting. Each location has a local infection system, while the locations are connected by people who commute each day. The model differentiates between day and night. During the day you can infect/be infected in the location where you work, while during the night you can infect/be infected in the location where you live. It is the same commuters who travel back and forth each day. At the start of a day, all commuters are sent to their work location, where they mix for 12 hours. The commuters are then sent to their respective home locations, where they mix for 12 hours. The model is loosely based upon a published model by Engebretsen (2019) <doi:10.1371/journal.pcbi.1006879>.

Richard White

spread

Infectious Disease Spread Models

Solveig Engebretsen

Andreas Nyg<c3><a5>rd Osnes

norway_seiiar_noinfected_2017 function

<dl class="dl-horizontal">
<dt>location_code</dt><dd>Location code.</dd>
<dt>S</dt><dd>Number of susceptible people.</dd>
<dt>E</dt><dd>Number of exposed people.</dd>
<dt>I</dt><dd>Number of infectious and symptomatic people.</dd>
<dt>Ia</dt><dd>Number of infectious and asymptomatic people.</dd>
<dt>R</dt><dd>Number of recovered people.</dd>
</dl>

Format

SEIIaR data.frame for Norway with no one infected and everyone susceptible. — norway_seiiar_noinfected_2017

<dl class='dl-horizontal'>
<dt>location_code</dt><dd>Location code.</dd>
<dt>S</dt><dd>Number of susceptible people.</dd>
<dt>E</dt><dd>Number of exposed people.</dd>
<dt>I</dt><dd>Number of infectious and symptomatic people.</dd>
<dt>Ia</dt><dd>Number of infectious and asymptomatic people.</dd>
<dt>R</dt><dd>Number of recovered people.</dd>
</dl>

norway_seiiar_noinfected_2017: SEIIaR data.frame for Norway with no one infected and everyone susceptible.

Description

Usage

Arguments

Format