prevalence_region

A dataset containing prevalence information for two pathogens across three regions

datasets

Framework for building modular Monte Carlo risk analysis models. It extends the capabilities of 'mc2d' to facilitate working with multiple risk pathways, variates and scenarios. It provides tools to organize risk analysis in independent flexible modules, perform multivariate Monte Carlo node operations, automate the creation of Monte Carlo nodes and visualize risk analysis models. For more details see Ciria (2025) <https://nataliaciria.github.io/mcmodule/articles/mcmodule>.

Natalia Ciria

mcmodule

Modular Monte Carlo Risk Analysis

Alberto Allepuz

Giovanna Ciaravino

prevalence_region function

<div class="section" id="prevalence-region">
<h3>prevalence_region</h3>
A data frame with 6 rows and 4 columns:<dl>
<dt>pathogen</dt>
<dd>Pathogen identifier (a or b)</dd><dt>origin</dt>
<dd>Region of origin (nord, south, east)</dd><dt>h_prev_min</dt>
<dd>Minimum herd prevalence value</dd><dt>h_prev_max</dt>
<dd>Maximum herd prevalence value</dd><dt>w_prev_min</dt>
<dd>Minimum within-herd prevalence value</dd><dt>w_prev_max</dt>
<dd>Maximum within-herd prevalence value</dd><dt>test_origin</dt>
<dd>Test used to detect infected animals at origin</dd>
</dl></div>

Format

Regional Prevalence Data — prevalence_region

<div class='section' id='prevalence-region'>
<h3>prevalence_region</h3>


A data frame with 6 rows and 4 columns:<dl>
<dt>pathogen</dt>
<dd>Pathogen identifier (a or b)</dd>

<dt>origin</dt>
<dd>Region of origin (nord, south, east)</dd>

<dt>h_prev_min</dt>
<dd>Minimum herd prevalence value</dd>

<dt>h_prev_max</dt>
<dd>Maximum herd prevalence value</dd>

<dt>w_prev_min</dt>
<dd>Minimum within-herd prevalence value</dd>

<dt>w_prev_max</dt>
<dd>Maximum within-herd prevalence value</dd>

<dt>test_origin</dt>
<dd>Test used to detect infected animals at origin</dd>


</dl>

</div>

prevalence_region: Regional Prevalence Data

Description

Usage

Arguments

Format

prevalence_region