Fig 1.
ACF plot for RiskSelf and RiskOthers.
The blue line represents the cutoff points for correlations that are significant at p = .05.
Table 1.
Correlation coefficients (rτ) between COVID-19 daily cases/deaths, risk estimates for “Self” and “Others”, and intensity of UO.
Fig 2.
Natural logarithm of daily new cases vs. RiskOthers (left panel) and RiskSelf (right panel)—Visualization of locally weighted regression (‘loess’).
Fig 3.
Natural logarithm of daily new deaths vs. RiskOthers (left panel) and RiskSelf (right panel)—Visualization of locally weighted regression (‘loess’).
Table 2.
Summary of linear mixed-models with RiskSelf, RiskOthers and Cindex as dependant variables, "Restrictions" as a fixed effect and "ID" as a random effect.
Fig 4.
Line plot of changes in risk estimates over time.
Each dot represents mean risk estimates for “Self” (blue) and “Other” (red) at a given time. Bars represent standard errors of means. Frames above the graph describe the most important events in the timeline of the pandemic.
Fig 5.
Box-plot of Cindex distribution in all waves.
Jittered points represent the density of Cindex values. The color of the boxes represents the "Restriction" period in which the wave took place.