This contribution aims to shed light on mathematical epidemic dynamics modeling
from the viewpoint of analytical mechanics. To set the stage, it recasts the basic SIR
model of mathematical epidemic dynamics in an analytical mechanics setting.
Thereby, it considers two possible reparametrizations of the basic SIR model: one
rescales time, while the other transforms the coordinates, i.e., the independent
variables. In both cases, Hamilton’s equations in terms of a suited Hamiltonian as
well as Hamilton’s principle in terms of a suited Lagrangian are considered in
minimal and extended phase and state space coordinates, respectively. The
corresponding Legendre transformations relating the various options for the
Hamiltonians and Lagrangians are detailed. Ultimately, this contribution expands on
a multitude of novel vistas on mathematical epidemic dynamics modeling that
emerge from the analytical mechanics viewpoint. As a result, it is believed that
interesting and relevant new research avenues open up when exploiting in depth the
analogies between analytical mechanics and mathematical epidemic dynamics
modeling.