Eigenvalues are scalar quantities that provide significant insights into the properties of a matrix. In epidemiology, matrices are often used to represent various systems and processes, such as the spread of infectious diseases. When a matrix is multiplied by a vector, the result is a vector that is scaled by the eigenvalue. These eigenvalues can indicate the stability and behavior of disease transmission models.
