Interplay between risk perception, behaviour, and COVID-19 spread

The paper’s modeling choices and qualitative claims are internally consistent and supported by clearly stated assumptions and simulation evidence (normalization by spectral radius, seasonality, ICU-memory HR, and scenario definitions) . The candidate solution gets key ideas right (monotonicity and continuity of ρ, scenario-1 initial growth, feedback-led stabilization) but makes critical mistakes: (i) it relies on an unstated, non-data-consistent structural assumption that all contextual contact matrices are proportional to a single matrix B (so that ρ becomes a convex combination), which is not assumed in the paper; (ii) it reverses the min/max bounds when deriving sufficient endpoint conditions for existence of HR*; and (iii) it assumes scenario-5 community weights can be as low as 0.1 at HR=0, whereas the paper sets 0.2. These errors undermine parts B and C of the candidate’s argument.