Disease virulence The Kermack-Mckendrick model for infectious disease transmission can be used to predict the population size \( P \) as a function of the disease's virulence, Virulence measures the deadliness of a disease. The population size \( P \) is high when virulence v is low because it is not very deadly, Surprisingly \( P \) is also high when \( v \) is high because then the disease is so deadly it kils people before they can pass it on, so fewer people actually get infected. Suppose, \[ P(v)=\frac{10+v+v^{2}}{1+v} \] for values of v from 0 to 10 inclusive, What virulence values produce the largest and smallest population sizes? What are those populations?
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To find the values of virulence \( v \) that yield the largest and smallest population sizes \( P(v) \), we can analyze the function \( P(v) \). 1. **Calculate**: Evaluate \( P(v) \) at the endpoints (0 and 10) and consider values in between (like 1, 2, ... 9). This will help identify the extreme values. 2. **Assessment**: Performing these calculations, you'll find that \( P(0) = 10 \) and \( P(10) = 19 \). But checking values like \( P(1), P(2), P(3) \) and so forth, you would discover that \( P(v) \) peaks at some intermediate virulence values. After evaluating the function, you will discover: - The smallest population size occurs at \( v = 0 \) where \( P(0) = 10 \). - The largest population size occurs at \( v = 3 \), where \( P(3) = 19 \), indicating a significant peak. Thus, the largest population size is 19 at \( v = 3 \) and the smallest is 10 at \( v = 0 \).