August 27, 2020

Particle Modeling of the Spreading of Coronavirus Disease (COVID-19)

Category: Article Summary

Topic: Modeling and Prediction

Keywords (Tags): modeling prediction, transmission

• De-Leon and Pederiva present a kinetic Monte Carlo algorithm that shows that a cyclic schedule of no-restrictions/lockdowns that includes at least ten days of lockdown for each cycle can help control SARS-CoV-2 transmission. In particular, this model reduces the infection rate when accompanied by social distancing and complete isolation of symptomatic patients. The comparison between model prediction and active cases in Sweden (normalized) from the beginning of March shows the model’s ability to predict the spread of the virus for different societies.

De-Leon and Pederiva. (Aug 20, 2020). Particle Modeling of the Spreading of Coronavirus Disease (COVID-19). Physics of Fluids. https://doi.org/10.1063/5.0020565