Mathematical Modeling of Epidemics. Lecture 1: basic SI/SIS/SIR models explained.
Вставка
- Опубліковано 15 бер 2020
- This lecture explains basic compartmental models in epidemiology -SI, SIS, SIR and exponential growth rate of infection. This lecture is a part of Network Science course at HSE.
Lecture slides: www.leonidzhukov.net/hse/2020/...
Course website: www.leonidzhukov.net/hse/2020/...
Excellent lecture. Thank you very much for sharing, Dr. Zhukov!
Really nice presentation. It was interesting to see the other, simpler flavours of compartmental models that culminate in the basic SIR model. Cheers.
Thank you very much I got a concept very well!
Nice presentation, I have learnt
great lecture! thanks a lot!
Thanks for the lecture. In the rapid exponential growth phase, I have been plotting the number of infected versus the number of days on ten cycle semi-log paper. The range on the y axis goes from one person to all the people in the world or country. Currently, US infections have gone up over three orders of magnitude.. In the SIR model from 1927, your linear y axis goes from zero to one. Is there an easy way to use plot the SIR model on a semi-log versus linear time? I have found printed 10 cycle by 90 day semi-log graph paper. Also, Microsoft Excel takes logarithms and graphs the log(infection rate). Of course, the time of the peak....next month....and the actual numbers of infections are critical to hospitals and policy decisions!
Good lecture , thanks, what software do you use to record the lecture
Hello, thanks for sharing this lecture. I am very interested in this topic, will you upload them later? I hope you won't be infected by the virus.
Hello, thanks for the lecture. Please I have been asked to state and explain the principles underlying simple mathematical models of communicable diseases.I have been trying hard to understand it, Is Mathematical models of communicable disease same as mathematical models of epidemics? Please
thank you teacher . i have projet of this top
Could you update your models with (delayed) various vaccines and more and more variant strains? Do you think they become MORE and MORE important? THANKS in adv!
it is a great lecture sir,,but is very long.it would be better to explain one Model in a single short lecture..tnx
Very good material. However it takes far too long to be delivered. Maths savvy viewers could cope with the slides being updated at least 3 times faster.
Could someone explain me how did we get differential equation for SIS model. Is it wrong?
Yes, it seems wrong. In the equation of di/dt after substituting the value of s it should be, di/dt=(beta-gamma-beta*i)*i instead of di/dt=(beta-gamma-i)*i.