JeroenKools / covid19

Data visualizations of the spread of the 2019 novel Coronavirus (COVID-19), based on data from Johns Hopkins University.
MIT License
10 stars 5 forks source link

About parameters #5

Closed ypriverol closed 4 years ago

ypriverol commented 4 years ago

Dear @JeroenKools:

First, thanks for this notebook, really useful. Im trying to use it with Cuban data. I came across these three parameters:

M = 0.25              # mitigation effectiveness under major lockdown
W = 0.50              # mitigation effectiveness under weak lockdown
N = 1.00              # mitigation effectiveness under normal conditions

How did you estimate these three parameters? Are they based on real data? Can they be estimated from the existing data in the country?

Thanks

JeroenKools commented 4 years ago

Hi @ypriverol,

Those values are mere guesstimates, except for 1.00 for normal conditions, which implies that the R0 is unchanged). I suppose we could look at the Chinese or South Korean data to see how effective their mitigation efforts were.

ypriverol commented 4 years ago

@JeroenKools:

I'm not a mathematician but will be good to have a value something like:

K=?   Assuming Korea Model
Ch=?  Assuming China Model

How we can estimate this?

JeroenKools commented 4 years ago

@ypriverol: See the latest commit. Thanks for the suggestion!

ypriverol commented 4 years ago

Thanks a lot. Playing with the new functionality.