Mathematical model of COVID-19 transmission with periodic workplace screening



Stochastic mathematical model of SARS-CoV2 transmission in congregate settings (i.e., workplaces/schools) that accounts for asymptomatic, pre-symptomatic, and background “community” transmission. This model can be parameterized to test a range of PCR-screening scenarios (varying frequency, sensitivity, and delay in results) to test their effectiveness at minimizing SARS-CoV2 circulation

The COVID_model_DRUM.R file contains three functions coded in R. The "covid" function runs a single iteration of the COVID model with outputs (number of individuals in each compartment) recorded on a daily tilmestep. The "sim" function runs multiple simulations of the COVID model, and the "summarize.timesteps" function takes output from the "sim" function and summarizes the median and 95th percent prediction intervals for each tilmestep. See the Readme.txt file for more details.

Funding information
Sponsorship: Swine Disease Eradication Center
Date made availableMay 24 2021
PublisherData Repository for the University of Minnesota

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