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Bayesian Modeling of Covid-19 Spread

A Bayesian approach of the modeling COVID19 one and two-wave spread based on the Gompertz equation via Markov Chain Monte Carlo (MCMC) simulations.

It needs:

It uses:

It performs:

  • A nonlinear parametric fit of the COVID19 spread (i.e., fatalities, confirmed cases, recovered) by country.

It provides:

  • Both daily and cumulative spreading (fatalities, confirmed cases, recovered and active cases) plots.