Skip to contents

A dataframe containing results used to compare degrees of introduction, spread, prevalence, persistence and cumulative infections of SARS-CoV-2 in simulated white-tailed deer populations. 1000 iterations (run_id) were run for each scenario (Context). Scenarios included captive deer in outdoor ranch facilities, captive deer in intensive facilities, wild deer in rural areas, and wild deer in suburban areas. Setting indicates whether deer were captive or wild. r0, or basic reproductive number, indicates the number of secondary infections caused by a single infectious deer over the course of it's infection. FOI, or Force-Of-Infection, is a hazard rate of a deer becoming infected from infectious humans, per day. Prevalence is the percent of a population infected, averaged over a simulated 120-day projection. Persistence is a logical condition indicating if equilibrium determined by SIRS ODE equations and run_steady() from the rootSolve package predicts at least 1 in 1,000 deer infected at equilibrium. Cumulative infections reports the total proportion of the population infected over the course of the 120-fall projection, and can exceed 1, indicating that all individuals were infected at least once during the fall season.

Usage

scenario_results

Format

scenario_results A data frame with 8 columns and 4000 rows storing the results of outbreak simulations. Each row corresponds to an iteration of the simulation, with a specific Context and random draw of epidemiological parameters:

run_id

Identifier of run iteration

Context

Scenario of focus for iteration

Setting

Iteration is taking place with wild or captive deer

r0

Basic reproductive number of iteration

FOI

Force-of-Infection from human spillover

Prevalence

Average daily proportion of deer population that is infected

Persist

Logical value for an outbreak persisting in a population at equilibrium

Cumulative_infections

Total proportion of deer infected over the course of the 120-day fall simulation

Source

Derived using SIRS_analysis_by_contexts.Rmd

Examples

if (FALSE) {
head(scenario_results)
}