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A dataframe containing results used to compare cumulative influences of the top performing alternative action for each OneHealth sectors (public health, agriculture, and wildlife sectors) on the prevalence, persistence and cumulative infections of SARS-CoV-2 in simulated white-tailed deer populations. 1000 iterations (run_id) were run for captive and wild populations of white-tailed deer, separated by a single fenceline that allows proximity and direct contact between captive and wild deer (Complex), under the alternative identified for public health, agriculture, and wildlife (Alternative) that have the greatest reduction in prevalence, persistence, and cumulative infections. Complexes include captive deer in outdoor ranch facilities and wild deer in rural areas (Outdoor ranch and rural deer), captive deer in outdoor ranch facilities and wild deer in suburban areas (Outdoor ranch and suburban deer), captive deer in intensive facilities and wild deer in rural areas (Intensive facility and rural deer), and captive deer in intensive facilities and wild deer in suburban areas (Intensive facility and suburban deer). Cross-sector collaboration would vaccinate and boost captive deer (agriculture sector), require personal protective equipment for humans interacting with deer in wild and captive settings (public health sector), and eliminate baiting practices through legislation, enforcement, and education (wildlife sector). Wild and captive prevalence (meanWild and meanCaptive, respectively) are reported as the percent of a population infected, averaged over a simulated 120-day projection (run_id), for a particular alternative applied to a particular context. Cumulative infections reports the total proportion of the wild and captive populations infected over the course of the 120-fall projection (cumulativeWild and cumulativeCaptive, respectively), and can exceed 1, indicating that all individuals were infected at least once during the fall season, for a particular alternative applied to a particular context. 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 for wild and captive deer (persistWild and persistCaptive, respectively), for a particular alternative applied to a particular context.

Usage

cross_sector_results

Format

cross_sector_results A data frame with 9 columns and 800 rows storing the results of outbreak simulations given a combination of best management alternatives across OneHealth sectors (Alternative). Each row corresponds to an iteration of the simulation, with a specific complex, alternative implemented, and random draw of epidemiological parameters:

run_id

Identifier of run iteration

Complex

Combination of wild and captive scenarios interacting along a fenceline

Alternative

Top OneHealth Management alternatives implemented

meanWild

Mean daily prevelance in wild deer in the complex

meanCaptive

Mean daily prevelance in captive deer in the complex

cumulativeWild

Incidence proportion in wild deer in the complex

cumulativeCaptive

Incidence proportion in captive deer in the complex

persistWild

Probability of persistence in wild deer in the complex

persistCaptive

Probability of persistence in captive deer in the complex

Source

Derived from Management_Alternatives_Systems.Rmd, and compared to single alternative impacts stored in alternatives_across_systems.rda

Examples

if (FALSE) {
head(cross_sector_results)
}