Hi,
The intersting thimg about SIR-Models they
can be used to detect an epidemic:
With the help of the SIR model, we can
determine for given initial values I_0,S_0,\beta ,
\gamma whether the course of the disease will
result in an epidemic.
https://de.wikipedia.org/wiki/SIR-Modell#Mathematische_Behandlung
Maybe we should look at Covid, and not Long-Covid.
But modelling of Long-Covid would be also intersting.
Currently I am reading:
California’s COVID-19 test positivity rate has surpassed
last summer’s peak, largely fueled by the FLiRT variants,
particularly KP.3.1.1. The rapid spread of these strains
suggests a likely rise in cases in the weeks ahead.
https://www.latimes.com/california/story/2024-07-29/covid-surging-in-california-as-virus-levels-in-sewage-near-two-year-summer-high
Bye
Mild Shock schrieb:
Hi,
During the early covid pandemic a macabre pass
time was to calibrate the SIR-model and try to
make predictions:
susceptible-infected-removed model
https://de.wikipedia.org/wiki/SIR-Modell
But hey, when do you have the chance to work
with real data! But now with Long-Covid, what
would we measure? What is the "removed" state
in Long-Covid. Freed from regular work?
Bye
Mild Shock schrieb:
Hi,
"Long Covid" and "Covid 19" trending on Twitter.
They have interresting tips:
Reminder: If you recently had covid, the recommen-
dation is that you not exercise for at least 6-8
weeks--even if your symptoms were mild--to not
put more stress on your body, which could lead
to Long COVID. Conserve your energy as much as you can.
https://twitter.com/milanaldebaran/status/1813363693821812813
LoL
Bye
Mild Shock schrieb:
Hi,
;
Forget face masks, it might be the
beginning of a new experience for the world!
;
Coronaviruses are oculotropic
https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7241406/
;
Bye
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