As there have already been some cases where persons have been infected twice,
you would have to take into account that only a finite percentage of
infected people become immune and that this immunity might also only last
some finite time.
Another thought experiment would be to randomly test some p
Antoine,
Thank you for testing. I have filed bug 16397:
https://bugzilla.scilab.org/show_bug.cgi?id=16397
Regards,
Federico Miyara
On 30/03/2020 09:05, Antoine Monmayrant wrote:
Hello Frederico,
I can confirm this (6.0.2 vs 6.1) on linux Ubuntu 18.04 64bits:
6.0.2 -> ~1s
6.1.0 -> ~50
> On 30.03.2020, at 20:37, Tim Wescott wrote:
>
> Someone was tagging "R" as "removed", which works if it's the aggregate
> of "live and no longer contagious" and "dead".
>
> Actually assessing the proportion of R depends on the local health
> system, and, to some extent, the size of the peak --
Someone was tagging "R" as "removed", which works if it's the aggregate
of "live and no longer contagious" and "dead".
Actually assessing the proportion of R depends on the local health
system, and, to some extent, the size of the peak -- the main reason
we're quarantining is to bring the peak dow
R = recovered = people who can not infect others anymore...this includes
the dead people... (or not?)
there are some nice introducton videos at YouTube about thiseven
showing the mentioned model...
numberphile: https://www.youtube.com/watch?v=k6nLfCbAzgo
3brown1blue: https://www.youtube.co
It is generally assumed that 1% of the infected will die. But that would not be
part of the modelling, depends mainly on local health services.
Heinz
> On 30.03.2020, at 16:12, Vesela Pasheva wrote:
>
> Hello colleagues,
>
> I would like to know whether the variable D of dead persons could be
Hi,
In Wikipedia article " Mathematical modelling of infectious disease " it says
that people counted in R have been infected and removed from the disease due to
immunization or death.
I am not an expert but the fatality ratio could be defined as a percentage of
the people infected 'I'.
Rega
Hello colleagues,
I would like to know whether the variable D of dead persons could be
included in the model considered. Up till now the model considers the
variables S - susceptible, I - infected and R - recovered. Where do the
Dead persons D go.
Of course i such case the system will be of f
> On 30.03.2020, at 08:13, Stéphane Mottelet wrote:
>
> Hello Heinz,
>
> Here is an interactive version (made for my children last week...) :
>
> // Confinement COVID-19 !
> // Stephane MOTTELET, UTC
> // Tue Mar 24 08:55:03 CET 2020
Great many thanks:
o The SIR model is great and
Hi again,
Just tested using the cli (no window, no java): it's even more : 0.34s vs 46s.
Antoine
Le Lundi, Mars 30, 2020 11:56 CEST, Federico Miyara
a écrit:
>
> Dear All,
>
> I have observed that Scilab 6.1 seems to have a regression respect to
> 6.0.2. Sometimes one forgets to put
Hello Frederico,
I can confirm this (6.0.2 vs 6.1) on linux Ubuntu 18.04 64bits:
6.0.2 -> ~1s
6.1.0 -> ~50s
Could you fill a bug report?
Antoine
Le Lundi, Mars 30, 2020 11:56 CEST, Federico Miyara
a écrit:
>
> Dear All,
>
> I have observed that Scilab 6.1 seems to have a regression
Dear All,
I have observed that Scilab 6.1 seems to have a regression respect to
6.0.2. Sometimes one forgets to put semicolon after the coputation of a
vector with tens of thousands components. Scilab 6.0.2 listed all the
components very fast. That was nice because one hadn't to cancel the
c
Merci Stéphane, for the very interesting code and Heinz for the reference to
the math behind the epidemy “curve”, or one of its models.
From: users On Behalf Of Stéphane Mottelet
Sent: Monday, March 30, 2020 9:14 AM
To: users@lists.scilab.org
Subject: Re: [Scilab-users] Corona modelling
Hell
13 matches
Mail list logo
