Table 1.

Quantitative results of the Bayesian multivariate linear mixed model to explain the daily number of visits to POIs.

	Baseline	Weather	Full
NPIs stringency	$-0.148\pm 0.004$	$-0.204\pm 0.004$	$-0.242\pm 0.009$
Death ratio	$-0.072\pm 0.004$	$-0.053\pm 0.003$	$-0.040\pm 0.007$
Max temperature	–	$0.009\pm 0.004$	$-0.001\pm 0.099$
Precipitations	–	$-0.002\pm 0.003$	$0.001\pm 0.100$
Risk adaptation	–	–	$0.118\pm 0.004$
$R^2$	$0.67\pm 0.02$	$0.72\pm 0.02$	$\mathbf{0.78}\pm \mathbf{0.02}$
PSIS-LOO	$610.60\pm 31.94$	$747.44\pm 28.78$	$\mathbf{846.76}\pm \mathbf{29.59}$

We report the mean and 95% confidence intervals of all the $\beta$ coefficients. We report the mean and standard deviation for $R^2$ and PSIS-LOO.