Are There Limitations to Using Eigenvectors in Epidemiology?
While eigenvectors are powerful tools, they do have limitations. One key limitation is that they assume a linear and time-invariant system, which may not always be the case in real-world disease dynamics. Additionally, the accuracy of predictions based on eigenvectors depends heavily on the quality and completeness of the input data. Therefore, it is essential to use them in conjunction with other methods and continually validate their predictions with empirical data.
