Comments (7)
Hi @khomri12, I could not understand the issue.
Could you please provide some more details? What do you mean by "similar"?
Here it should be either "weekly deaths" or "weekly cases"
instad of the weekly deaths cases (data)
which one did you mean?
Do you simulate a particular country? It would help if you could upload your parameters JSON and/or a screenshot of the results plot.
Please note that our initial parameters are merely a starting point for the simulation of your own. We fit initial model parameters to the data, but we cannot guarantee that they are perfect for any of the hundreds of countries and regions we are modelling. If you have suggestions on improvements for a particular region, let us know.
from covid19_scenarios.
Good evening
What I mean is could I use the cumulative deaths as a cumulative cases to better understand the evolution of the disease, and please if you could share with me the mathematical equation virtues such parameters in the platform?
from covid19_scenarios.
use the cumulative deaths as a cumulative cases
Sorry, I am not fully understanding here.
You can enable "cumulative deaths" and other lines on the plot by clicking on items in the legend section. Is this what you need?
mathematical equation virtues such parameters in the platform
About page contains a brief description of the algorithm:
https://covid19-scenarios.org/about
and some more details are in the paper
https://www.medrxiv.org/content/10.1101/2020.05.05.20091363v2
Check also our page with frequently asked questions:
https://covid19-scenarios.org/faq
Let me know if you need to know more than that.
from covid19_scenarios.
Thank for clarification !
Are the effective reproduction value is what you have called In our paper B(t) transmission rate ?
Can I said that Re(t) is R0*M(t)?
If it's not please if possible to provide the function used in
from covid19_scenarios.
@khomri12 I am not sure I fully understand the question. the R0 is approximately given by the baseline ß(t) divided the mean time somebody is infectious. You can find more detail here:
https://www.medrxiv.org/content/10.1101/2020.05.05.20091363v2
from covid19_scenarios.
Thank you clarification sir,
What I mean is , the function (in the picture ) are it is the result of the function ß(t) ? I have challenge
To understand this function in the graph.
from covid19_scenarios.
there is a one-to-one relation between the function beta(t) and R(t).
from covid19_scenarios.
Related Issues (20)
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- Step-by-step guide for parameter adjustment HOT 5
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- Split app data per region and load on demand
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- Not all strings are translated
- API HOT 4
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from covid19_scenarios.