Guilherme A. L. da Silva

Hi, The pointo of Giuliano is good because death rates are more reliable that number of infected cases. In Brazil we have the situation of under report because we are...

> Hi. I found your work very interesting :) > > I see you are using a SIR-based model, but that doesn't seem to model the number of deaths. I...

Use odeint it is much faster because is FORTRAN compiled! Enviado do meu iPhone > Em 17 de abr de 2020, à(s) 06:44, Javier Ródenas escreveu: > >  >...

Nice! I started a new repository..It has some data analysis and model. The Readme is almost complete about the data and the theory. Take a look. Please watch and join...

> My personal view is I would rather not include death estimation. Besides the pollution of data on or if SIR is acceptable to this it can also send some...

Great ...do you have plots for various countries? @giulianobelinassi If you need to use the country with provinces, I implemented a function to sum province data under the same country....

@giulianobelinassi here are some improvements possible: - Use scipy.integrate.odeint to solve the ODE system. The results may differ from solve_ivp, which is common for nonlinear equations, but the code is...

``` country1="China" if country1=="Brazil": date="3/3/20" s0=25000 i0=27 r0=-35 k0=-35 if country1=="China": date="1/22/20" s0=170000 i0=1200 r0=-80000 k0=200 if country1=="Italy": date="1/31/20" s0=160000 i0=23 r0=15 k0=100 if country1=="France": date="2/25/20" s0=95e3 i0=250 r0=-75 k0=105...

> you might find interesting https://github.com/ImperialCollegeLondon/covid19model they model deaths and how the different measures affect the count. I tried to run their model in R but I could not. A...

> Hi, Guilherme > > Please, checkout to branch death_rate_2 > > ``` > git checkout death_rate_2 > git pull > ``` > > Giuliano. Thanks