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[ENG SUB]
This video was created to explain the mathematical principles of the SIR model, which is most commonly used to predict infectious diseases.
Most of the epidemic charts you see in news are SIRS, SEIR, SEIQR and SIRS, which are variants of the SIR model.
As the Corona 19 virus becomes popular, interest in the SIR model is growing.
Theoretically, it is possible to predict and forecast the end of the Corona 19 (or Covid 19) virus through the SIR model.
In this video, we're going to use differential equations to derive the SIR model, and we're going to talk about the insights that we can get in this way.
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Legendary articles from Kermack and McKendrick can be found on the link below.
www.math.utah.edu/~bkohler/Jou...
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If you are curious about the Data Fitting Method, please refer to the following paper in the Imperial College.
www.doc.ic.ac.uk/teaching/dis...
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If you are curious about the exact mathematical derivation of the SEIR model, please refer to the link in Stanford.
web.stanford.edu/~jhj1/teachi...
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Some Sources
FauzIDEA, Iconfinder, Attribution 3.0 Unported (CC BY 3.0)
www.iconfinder.com/FauzIDEA
Isared Honghin, Iconfinder, Attribution 3.0 Unported (CC BY 3.0)
www.iconfinder.com/acehonghin
fukin ride, Iconfinder, Attribution-ShareAlike 3.0 Unported (CC BY-SA 3.0)
BomSymbols . , Incofinder, Free for commercial use
www.iconfinder.com/korawan_m
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I think the mathematical story of Corona 19 will end in trilogy. The next video will be serialized about conditional probability.
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