Help with a differential equation problem. If I am given a population size, and an infected individual enters the population, I need to find the number of infected individuals at time t. I am also given k. How do I go about writing the equation?
More info?
Is this for a DE class?
Yes it is. I am quite lost (in coming up with the equation myself). Population is 999. 1 infected individual. All susceptible to the disease. k=0.0005. I need to find the number of infected invidivials after 15 days.
I assume I use the model P=Poe^kt
dP/di is the rate of change of the population with respect to the infection right? i never was good at modeling with these either
if P' = kP then we can determine P' - kP = 0
in other words, if the rate of change in the population is dependant upon the size of the population at a given moment in time .... then kP is the size of the population appropriate to the rate of change in the population
yes i started with dP/dt = kP then i create an equation where dP/dt=0.0005P and go on to separate? which gives me P=Ae^-0.0005t ?
When I plug in A=999 (initial population) and t=15 I get 1077 So i assume 1077-999 = 78 infected persons ???
How does the infected person come into play in the equation?
Initial infected was 1, not 999
i think you ned to be more specific. what for example do you think k actually means you could go at this any number of ways. eg you might look to see exponential growth in the number of infections. thus the equation would be dI/dt = kI, but that gives nonsense answers alternatively, you might say that the pop P will decay exponentially due to k (whatever it means): dP/dt = -kt in which case you get P = 999 e^(-kt) (clarify is the 1 infected person within the 999 or does she/he make it up to 1000) this expo decay approach means about 6 or 7 people die in 16 days, which makes more sense however that too depends upon what k means....
I would suggest Kermack-McKendrick SIR model, quite funny if you get into it ;)
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