price_reduction

Give the price reduction rate associated with the infection on the (grapevine) fruits

A stochastic, spatially-explicit, demo-genetic model simulating the spread and evolution
of a plant pathogen in a heterogeneous landscape to assess resistance deployment strategies.
It is based on a spatial geometry for describing the landscape and allocation of different cultivars,
a dispersal kernel for the dissemination of the pathogen, and a SEIR
('Susceptible-Exposed-Infectious-Removed’) structure with a discrete time step.
It provides a useful tool to assess the performance of a wide range of deployment options with
respect to their epidemiological, evolutionary and economic outcomes.
Loup Rimbaud, Julien Papaïx, Jean-François Rey, Luke G Barrett,
Peter H Thrall (2018) <doi:10.1371/journal.pcbi.1006067>.

Jean-Francois Rey

landsepi

Landscape Epidemiology and Evolution

Loup Rimbaud

Julien Papaix

Jean-François Rey

Marta Zaffaroni

Jean-Loup Gaussen

price_reduction function

<dl><dt>I_host</dt>
<dd>number of infected host for cultivars and for timestep</dd>
<dt>N_host</dt>
<dd>total number of hosts for cultivars and for timestep</dd>
<dt>Nhost</dt>
<dd>total number of cultivars considered in the simulation</dd>
<dt>Nyears</dt>
<dd>number of simulated cropping seasons</dd>
<dt>nTSpY</dt>
<dd>number of timestep (e.g. days) per cropping season</dd></dl>

Arguments

Price reduction function — price_reduction

<dl>

<dt>I_host</dt>
<dd>number of infected host for cultivars and for timestep</dd>


<dt>N_host</dt>
<dd>total number of hosts for cultivars and for timestep</dd>


<dt>Nhost</dt>
<dd>total number of cultivars considered in the simulation</dd>


<dt>Nyears</dt>
<dd>number of simulated cropping seasons</dd>


<dt>nTSpY</dt>
<dd>number of timestep (e.g. days) per cropping season</dd>

</dl>

price_reduction: Price reduction function

Description

Usage

Value

Arguments

References