The total number of people infected with a virus often grows like a logistic curve. Suppose that 10 people originally have the virus, and that in the early stages of the virus (with time, t , measured in weeks), the number of people infected is increasing exponentially with K=1.6 . It is estimated that, in the long run, approximately 6750 people become infected. Use this information to find a logistic function to model this situation. P=? The total number of people infected with a virus often grows like a logistic curve. Suppose that 10 people originally have the virus, and that in the early stages of the virus (with time, t , measured in weeks), the number of people infected is increasing exponentially with K=1.6 . It is estimated that, in the long run, approximately 6750 people become infected. Use this information to find a logistic function to model this situation. P=? @Mathematics
6750 because if it has a long time to spread it eventually gets everyone
so do i do 10=1650/1+be^(k(0)) then solve for b?
you have to use the P=L/(1+be^(-kt))
somehow
it doesn't specify the time in weeks when this occurs
\[\frac{dP}{dt}=1.6P\left(1 - \frac{P}{6750}\right)\]
right it is a differential equation
Valpey can you continue?
sure we have to separate the variables all the p's on one side and the dt term on the right. We then integrate both sides.
separable first order
i got (6750)/1+674e^-(1.6t)
i got it right
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