Fig. 6.

Modelling herd immunity, real epidemiological data and statistical treatment of the model for different types of environments: closed communities (A, B), semi-open premises (C, D) and open spaces (E, F). Pearson correlations coefficients between simulated curve and epidemiological data approximation: 0.95882 (p ≤ 0.00183) (A); 0.96290 (p ≤ 0.00072); and 0.93733 (p ≤ 0.01274). In right panes (B, D and F), scatter matrices (blue lines) and 95% correlation CI ellipses (red) are shown. In the insets, coherence vs frequency of signal plots are provided. Coherence between simulated curve and real data is calculated as$C_{ab}\left(f\right)=\frac{{|P_{ab}\left(f\right)|}^2}{P_{aa}\left(f\right)P_{bb}\left(f\right)},$ where P_ab the cross power spectral density, and P_aa and P_bb are power spectral densities of simulated curve and experimental data means. Estimations of Poisson noise of the model: 5.12% (A); 6.68% (C); and 14.47% (E).