Probability of Bob Being Infected with Spread of Disease

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Discussion Overview

The discussion revolves around the probability of an individual, Bob, becoming infected in a population where disease spreads through interactions. Participants explore the dynamics of infection over discrete rounds, considering factors such as the randomness of partner selection and the probability of transmission upon interaction.

Discussion Character

  • Exploratory
  • Mathematical reasoning
  • Debate/contested

Main Points Raised

  • One participant proposes a model where an initially infected individual interacts with others, leading to potential infection of uninfected individuals based on a probability, p.
  • Another participant questions whether individuals interact with the same partner throughout the rounds, suggesting that if they do, Bob's chances of infection are low.
  • A later reply clarifies that partners are chosen randomly each round, which may affect the infection dynamics.
  • One participant notes that the population theoretically propagates at a rate of 2^n but acknowledges that this rate may slow due to interactions between infected individuals.
  • There is a suggestion that the problem lacks definition, specifically regarding the topology of interactions within the population.

Areas of Agreement / Disagreement

Participants express differing views on the nature of interactions (fixed vs. random partners) and the implications for infection probability. The discussion remains unresolved regarding the exact modeling of the infection spread and the need for additional definitions.

Contextual Notes

Participants highlight limitations in the problem definition, particularly the absence of a specified topology for interactions, which may influence the dynamics of disease spread.

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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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
 
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.
 
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) propagate 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.
 

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