ADSM: An R Package for Animal Disease Spread Model Simulation with Unrestricted Control Measures
Date
2024-12
Authors
Nakkirt, Poramate
Major Professor
Wang , Chong
Advisor
Committee Member
Genschel , Ulrike
Zimmerman, Jeffrey
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Altmetrics
Abstract
The Animal Disease Spread Model (ADSM) is a public software that simulates the spread of disease in animal livestock. It was developed to support decision-making in disease prevention and policy control prior to the outbreaks. It models a disease spread between farms via animal-to-animal shipments, movements of materials, equipment, and airborne contact. The disease transmission and transition rely on input parameters that are set by the user. The model is stochastic, spatial-temporal, and state-transition. Although ADSM has been widely used in veterinary research for estimating disease spread, there are some limitations and inflexibility. ADSM is only available on Windows and Linux Beta operating systems. Running multiple scenarios is challenging and time-consuming. It allows a user to perform only one scenario at a time with specified input parameters. A large number of output files can exceed device storage and memory. To address these issues, we propose an R package ADSM that is compatible with the ADSM software. The package was developed to run a simulation of animal disease spread when all control measures and actions, such as vaccination and depopulation, will not be implemented. R users are flexible to conduct a simulation over a range of scenarios in the same software environment. We also modified the output structure that is suitable for further statistical analysis. Furthermore, we conducted simulations using a subset of a fake swine population. Performance evaluation using built-in functions in the R package yielded consistency of outputs produced by ADSM software.
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creative component
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Copyright
2024