Table 14-5
The following data consists of a matrix of transition probabilities (P)of three potential diseases, and the initial incidence of each disease π(0).Assume that each state represents a disease (Disease 1, Disease 2, Disease 3, respectively)and the transition probabilities represent changes from one checkup to the next.
P =

π(0)= (.3, .3, .4)
-Using the data in Table 14-5, determine Disease 3's estimated incidence in the next period.
A)0.32
B)0.34
C)0.36
D)0.38

Question

Table 14-5
The following data consists of a matrix of transition probabilities (P)of three potential diseases, and the initial incidence of each disease π(0).Assume that each state represents a disease (Disease 1, Disease 2, Disease 3, respectively)and the transition probabilities represent changes from one checkup to the next.
P =  
 
π(0)= (.3, .3, .4)
-Using the data in Table 14-5, determine Disease 3's estimated incidence in the next period.
A)0.32 
B)0.34 
C)0.36 
D)0.38

Quizplus · Accepted Answer

Without access to the specific data in "Table 14-5," it's impossible to calculate or determine the exact incidence of Disease 3 for the next period. However, based on the question's structure, it seems you're looking for an answer to a specific scenario or dataset. In real-world applications, estimating disease incidence for a future period would typically involve analyzing current and historical data on disease occurrence, population at risk, and potentially factors that could influence disease spread or control. This process can involve statistical models, trend analysis, and consideration of public health interventions.

Table 14-5 The Following Data Consists of a Matrix of Transition Probabilities