Can Eigenvectors Help in Real-Time Outbreak Analysis?
Yes, eigenvectors can be extremely useful in real-time outbreak analysis. By continually updating the transition matrix with new data, public health officials can recalibrate their models to reflect the current state of the outbreak. The eigenvectors and eigenvalues can then provide insights into the effectiveness of interventions such as social distancing, vaccination, and quarantine measures. This allows for more dynamic and responsive public health strategies.
