Understanding the Contact Rate in SIS Epidemic Modelling

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The formula for the probability of the number of infectives increasing in one time step is expressed as ∆tβi(N-i)/N, where β represents the contact rate, ∆t is the time step, i is the number of infectives, and N is the total population. The multiplication by i indicates that a higher number of infectives increases the chances of encounters, while multiplying by N-i reflects that more susceptibles also lead to more potential encounters. The division by N is essential for normalizing the probability, ensuring it reflects the proportion of the population that can interact. Understanding the concept of probability is crucial to grasping the implications of the contact rate in this context. Clarifying these foundational concepts will help in comprehending the overall model dynamics.
rickywaldron
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For the probability of the number of infective's increasing in one time step, I found the answer is:
∆tβi(N-i)/N
where β is the contact rate, ∆t is the time step, i is number of infectives,N is total number of susceptible's and infective's

I can't quite see where this is coming from. β is the contact rate, so it makes sense to multiply by i since for more i, more chances of encounters. Then multiplying by N-i makes sense since more susceptible also means more chance of encounters.

But then why the division by N? I think my problem may be in understanding what the "contact rate" actually means
 
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rickywaldron said:
But then why the division by N? I think my problem may be in understanding what the "contact rate" actually means
I think it actually has to do with understanding what a probability is. :-p

What is a probability? What does it tell you?

Answering those questions should tell you the answer to your question.
 
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