Final answer:
To find the peak number of infected during a flu outbreak in a school with 1000 susceptible and 1 infected individual, one would use disease modeling, considering the infection and recovery rates. Assuming uniform interactions and a closed population, the peak occurs when new infections balance out recoveries. Exact timing requires more interaction data.
Step-by-step explanation:
The question at hand requires us to determine the peak number of infected students in a hypothetical flu outbreak given certain parameters. We begin with 1000 susceptible students, 1 infected student, and an infection rate of 0.002 per interaction. As the flu being described has a 48-hour recovery period, we can model the outbreak using differential equations or a computational model to predict the dynamics of the infection over time.
Assuming a closed population where all students interact uniformly, the peak of the infection will occur when the rate of new infections equals the rate of recoveries. Initially, the infection will spread relatively quickly because there are many susceptible students. However, as students recover and gain immunity, and fewer susceptible individuals remain, the infection rate will slow down. Without additional information, such as the daily number of interactions, we cannot provide a precise day for the peak, but we can conclude that it will happen before the majority of the population has become infected and after the disease has had sufficient time to spread beyond the initial cases.