SIS disease Model

  • Thread starter tactical
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  • #1
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The following problem is an SIS disease problem:

Calling: I(t) = number of infectives at time t
N = the total population (assumed constant)
b = infection rate (here, a positive constant)
v = recovery rate (also, a positive constant)

a model for this disease is given bu the following:

dI/dt = bI(N-I) - vI

And since the population is assumed constant, we can just take S(t) to be N -I(t). Derive a condition for when the number of infectives goes to zero.

Is there anyone out there than can help me, even if it's just a little bit?
 

Answers and Replies

  • #2
116
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The equation is separable. Just integrate
[tex]dx=dI \frac{1}{I(bN-v-bI)}[/tex]
 
  • #3
1
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it's a Bernoulli equation...I have to solve the same as you...did u solve it?
 
Last edited:

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