The SIR Model : Data Science Concepts

Modeling the spread of an infectious disease using the SIR model!

[@xxFutureAnimationsxx]

Love the video as always! Always been a fan of your videos and your clear, detailed explanations. Keep up the amazing work! - from a fellow Bruin!

[@ritvikmath]

Thank you! Go Bruins !!

[@inspiredlabrador7295]

Hello brother! I am a big fan of your videos and your teaching methods. I was working with my Professor on a paper that will use SVAR model for the methodology. Are you planning to make a series on VAR anytime soon or even a simple video on SVAR? It's kinda hard for an undergrad like me to catch up SVAR quickly so I hope you would pay heed to the suggestion! Lots of love for the initiative and keep it up!

[@valensrwema4251]

Very smart, i like the way you explain complex things and make them simple Thank you so much

[@user-we6wp1ky7f]

Thank you for cool and useful videos about Data Science) Could you tell about why you did not mention the category of people who died from the epidemic and how such models are built taking into account that people are dying. We must somehow take into account in this case that Ntotal is N (t) P.S. I hope “died category” will be low for any epidemic in future. And i wish you good health

[@ritvikmath]

Hi! Thanks for the question. Indeed you are right. Often the "R" category includes not only recovered people but also those who died from the disease. And in more complex models, we can have two separate categories for recovered vs died in the case where recovered people might get the disease again.

[@MrAlket1999]

Thanks for the video! What simulation software tool can I use to see how the model behaves when I change the parameters?

[@SS-xh4wu]

Great video!! Could you talk about survival analysis?

[@ishanaphale4451]

Hey, love the videos! Could you do one on jacobians and hessians? Would really appreciate it

[@ritvikmath]

Thanks! And I'll look into that suggestion :)

[@vaishnav4035]

Very good explanation ☺️