Probability of Bob Being Infected with Spread of Disease

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In summary, assuming a population of a given size with one person initially infected, during each round, everyone pairs off and interacts with a random partner. If an infected person interacts with an uninfected person, the uninfected person becomes infected. After n rounds, what is the probability that my favorite person, Bob, is infected? Additionally, if there is a known probability, p, that an uninfected person will become infected when interacting with an infected person, what is the new probability that Bob will be infected? This problem attempts to model the spread of a disease in a population and may involve recursive calculations. However, the odds of Bob being infected may be low if he does not interact with the same partner every round.
  • #1
mac11
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Assume there is a population of a given (even) size. One person is ‘infected’ in the beginning. During every ‘round’, everybody in the population pairs off and ‘interacts’ with her partner. If an infected person interacts with an uninfected person, the uninfected person is then infected. If two infected people interact, there is no change. Let’s say my favorite guy in this population is Bob. After n rounds, what is the probability Bob is infected?
Further, if an infected person interacts with an uninfected person, assume there is a known probability, p, that the uninfected person will get infected. What is the new probability Bob will be infected?
You can probably guess what this problem is attempting to model. I’m guessing the answer is recursive, so do your best.
 
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  • #2
Do they always interact with the same partner? If so, the odds of Bob being infected are quite low, because he's either going to get infected in the first round, or never
 
  • #3
mac11 said:
Assume there is a population of a given (even) size. One person is ‘infected’ in the beginning. During every ‘round’, everybody in the population pairs off and ‘interacts’ with her partner. If an infected person interacts with an uninfected person, the uninfected person is then infected. If two infected people interact, there is no change. Let’s say my favorite guy in this population is Bob. After n rounds, what is the probability Bob is infected?
Further, if an infected person interacts with an uninfected person, assume there is a known probability, p, that the uninfected person will get infected. What is the new probability Bob will be infected?
You can probably guess what this problem is attempting to model. I’m guessing the answer is recursive, so do your best.

The problem is not defined. At least, you need to add the topology.
 
  • #4
Office_Shredder said:
Do they always interact with the same partner? If so, the odds of Bob being infected are quite low, because he's either going to get infected in the first round, or never

No, the partner is chosen randomely each round.

I think I explained the problem pretty well, not sure what you mean by 'adding a topology'.

But again, this happens in discrete 'rounds'. Obviously, the population will (theoretically) propogate at a rate of 2^n (doubling every round), but this is unlikely to happen because two infected people will meet and 'slow down' this rate. If the population is extremely large, however, you can expect the disease to spread exponentially at least initially.
 

What is the probability of Bob being infected with the spread of disease?

The probability of Bob being infected with the spread of disease depends on various factors, such as the type of disease, Bob's exposure to the disease, and Bob's immune system. It is difficult to determine the exact probability without more information.

How can the probability of Bob being infected be calculated?

The probability of Bob being infected can be calculated by dividing the number of cases where Bob is infected by the total number of cases. This is known as the probability of Bob being infected in a given population. However, this calculation may not accurately reflect the actual probability due to the complexity of disease transmission.

What factors affect the probability of Bob being infected with the spread of disease?

There are several factors that can affect the probability of Bob being infected with the spread of disease. These include the virulence of the disease, the route of transmission, the frequency of contact with infected individuals, and the effectiveness of preventative measures.

Can the probability of Bob being infected change over time?

Yes, the probability of Bob being infected can change over time. As the disease spreads and more people become infected, the likelihood of Bob being exposed to the disease increases. Additionally, the implementation of preventative measures or the development of a vaccine can decrease the probability of Bob being infected.

How can we reduce the probability of Bob being infected?

The probability of Bob being infected can be reduced by practicing good hygiene, avoiding contact with infected individuals, and following recommended preventative measures such as wearing a mask and social distancing. Additionally, getting vaccinated against the disease can greatly decrease the probability of Bob being infected.

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