Einführung in exponentielles und logarithmisches Wachstum einer Epidemie

While the intent here is to give a lesson on exponential and logistic growth as general phenomena, with epidemics as a timely case study, there are a few notes worth adding when it comes to epidemics themselves.
Probably the most important, mentioned only as a small on-screen note, is that these models should account for the amount of time someone with the virus remains infectious.
Those who recover (or die) are no longer able to spread it, and so don’t factor into the growth equation.

The faster the growth, the less this matters, since at each point on the curve most people with the virus will have only contracted it recently, but especially in the long run or with slower growth, any realistic model has to consider this. The other factor, which I was hesitant to even get into here, is the extent to which reported cases reflect real cases.

Generalizing away from epidemics, though, the key upshot is to be aware of phenomena where the rate of growth is proportional to the size of the thing growing. Compound interest, technological progress, population growth, and many other things fit this pattern, and it’s shocking how bad our intuitions can be at recognizing what it means. (via 3Blue1Brown)

Exponential growth and epidemics
Dieses Video ansehen auf YouTube.

Matze
Ich hab Millionen von Ideen und alle enden mit Sicherheit tödlich. Twitter | Facebook | Instagram | RSS

Wir haben Cookies, aber nicht fürs Krümelmonster. Nom Nom

Die Cookie-Einstellungen auf dieser Website sind auf "Cookies zulassen", um Ihnen das beste Surferlebnis möglich zu geben. Wenn Sie diese Website ohne Änderung Ihrer Cookie-Einstellungen zu verwenden fortzufahren, oder klicken Sie auf "Akzeptieren" unten, dann erklären Sie sich mit diesen.

Schließen