Search Results for author: M. Cavaiola

Found 1 papers, 0 papers with code

Fluid dynamics of COVID-19 airborne infection suggests urgent data for a scientific design of social distancing

no code implementations2 Sep 2020 M. E. Rosti, S. Olivieri, M. Cavaiola, A. Seminara, A. Mazzino

We point to two key issues that need to be addressed urgently in order to provide a scientific foundation to social distancing rules: (I1) a careful characterisation of the initial distribution of droplet sizes; (I2) the infectious potential of viruses carried on dry nuclei vs liquid droplets.

Fluid Dynamics Soft Condensed Matter Medical Physics

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