numberInfectedBGW

For a given time t, this function returns the number of infected active units.
The difference with <code>numberInfected</code> is that it counts an "out"
individual as still there, but with no children.
This is for comparison with the BGW process, should be internal only.

internal

The aim of 'nosoi' (pronounced no.si) is to provide a flexible agent-based stochastic transmission chain/epidemic simulator (Lequime et al. Methods in Ecology and Evolution 11:1002-1007). It is named after the daimones of plague, sickness and disease that escaped Pandora's jar in the Greek mythology. 'nosoi' is able to take into account the influence of multiple variable on the transmission process (e.g. dual-host systems (such as arboviruses), within-host viral dynamics, transportation, population structure), alone or taken together, to create complex but relatively intuitive epidemiological simulations.

Sebastian Lequime

nosoi

A Forward Agent-Based Transmission Chain Simulator

Paul Bastide

Simon Dellicour

Philippe Lemey

Guy Baele

Thijs Janzen

numberInfectedBGW function

<dl><dt>table.nosoi</dt>
<dd>result of function <code>nosoiSim</code></dd>
<dt>t</dt>
<dd>time (integer)</dd></dl>

Arguments

Number of infected hosts at time t (BGW) — numberInfectedBGW

<dl>

<dt>table.nosoi</dt>
<dd>result of function <code>nosoiSim</code></dd>


<dt>t</dt>
<dd>time (integer)</dd>

</dl>

numberInfectedBGW: Number of infected hosts at time t (BGW)

Description

Usage

Value

Arguments

See Also