Final answer:
Without the necessary contextual information about the disease's spread rate and current affected population, it's impossible to accurately predict the number of people who will be sick with the disease two years later. The question requires more details and a specific disease transmission model to make such a forecast.
Step-by-step explanation:
Understanding Probability in Disease Spread
To determine how many people will be sick with a disease two years later, one would generally need a disease transmission model or data on the specific rates and dynamic of the spread. However, as the question seems to be incomplete and lacks sufficient contextual information, a definitive answer can't be provided. The principles of probability and statistics can be applied if more information is given, such as the rate of spread, current infected population size, and the biology of the disease.
In the presented examples, the probability of a person being female, obtaining a disease through a particular method, and expected values for a certain number of people being sick are calculated using basic probability rules. These examples demonstrate the application of probability in the context of epidemiology, which is crucial for predicting disease spread and making public health decisions.
Data interpretation and probability calculations are based upon given statistics such as percentages of people affected by a disease and the risk factors associated.