Fig 1.
The panels display time trends in (A) COVID-19 deaths, (B) COVID-19 transmissions, (C, D) media items, (E, F) Google search scores, (G) compliance with stay-at-home-directives (Google mobility), (H) temperature, and (I) the number of people on the street.
Fig 2.
Timeline of the COVID-19 outbreak and the implementation of social distancing directives in The Netherlands.
Fig 3.
Observed social distancing violations (i.e., < 1.5 meter proximity by non-household members) from CCTV clips.
Fig 4.
Social distancing violations as a function of time.
Observed values (in red), and fitted values of a linear model (Model 1 in Table 1; in black), a quadratic model (Model 2 in Table 1; in blue), and a quadratic model that corrects for periodicity due to weekday (Model 3 in Table 1; in green).
Table 1.
Number of social distancing violations regressed on linear time, quadratic time, and periodicity.
Fig 5.
Correlations between the number of observed social distancing violations and the covariates.
The panels display the correlations between, on the one hand, the number of observed social distancing violations and, on the other hand, the (A) COVID-19 deaths, (B) COVID-19 transmissions, (C, D) media items, (E, F) Google search scores, (G) compliance with stay-at-home-directives (Google mobility), (H) temperature, and (I) the number of people on the street.
Fig 6.
Correlation coefficients between de-trended variables.
All variables were de-trended prior to including them in the analyses by taking residuals after OLS-regressing them on time, time squared, and periodicity due to weekday. Time points are Thursdays and Saturdays between Saturday February 29th, 2020 and Saturday May 2nd, 2020.
Table 2.
Number of social distancing violations regressed on the number of people on the street and each of the other variables.