Table 2.

Epidemic impact with the threshold $\mathrm{\Theta }=500$.

	$\mathrm{\Theta }=500$
	$\chi =0.8$	$\chi =0.9$	$\chi =1$
$\kappa =1$	0.20 [0.20, 0.20]	0.73 [0.73, 0.73]	2.13 [2.13, 2.14]	$I_{\text{max}}\%$
$\kappa =0.5$	0.20 [0.20, 0.20]	0.73 [0.73, 0.73]	2.13 [2.13, 2.14]
$\kappa =0.1$	0.20 [0.20, 0.20]	0.73 [0.73, 0.73]	2.11 [2.11, 2.11]
$\kappa =1$	6.19 [6.17, 6.20]	21.98 [21.97, 22.00]	37.13 [37.11, 37.15]	$R(\infty )\%$
$\kappa =0.5$	6.19 [6.17, 6.20]	21.98 [21.96, 21.99]	37.13 [37.12, 37.14]
$\kappa =0.1$	6.17 [6.16, 6.19]	21.99 [21.97, 22.00]	37.12 [37.11, 37.14]
$\kappa =1$	100 [100, 100]	100 [100, 100]	100 [100, 100]	$D(\infty )\%$
$\kappa =0.5$	100 [100, 100]	100 [100, 100]	100 [100, 100]
$\kappa =0.1$	100[100, 100]	100 [100, 100]	100 [100, 100]

Average values as a percentage of the total population N for $I_{\text{max}}$ and $R(\infty )$, and as a percentage of the size of the system V for the locked districts $D(\infty )$, together with 95$\%$ confidence interval in brackets for selected scenarios of values of $(\kappa ,\chi )$ under $\mathrm{\Theta }=500$. NRS gives $I_{\text{max}}=2.15$ [2.15,2.15], $R(\infty )=37.14$ [37.12, 37.16] and full invasion.