. 2021 Jun 8;11:12051. doi: 10.1038/s41598-021-91514-7

Table 1.

Parameters for the four states and two cities for the 2020 COVID-19 pandemic.

Region	$μ$ [%]	1/ $γ$ [days]	$β_{0}$ [1/days]	$d_{I}$ (behavior period)
Massachusetts	0.5	10	0.28 ( $R_{0} = 2.8$ )	40 (March 15–Apr 24) 500 (Aug 2–Aug 3) 38 (Dec 21–)
California			0.35 ( $R_{0} = 3.5$ )	450 (March 15–Apr 9) 110 (Jul 18–Jul 19) 470 (Oct 6–Oct 7) 40 (Dec 18–)
South Dakota			0.25 ( $R_{0} = 2.5$ )	160 (March 15–Jul 30) 17 (Nov 7–Nov 8) 63 (Jan 26–)
Florida			0.38 ( $R_{0} = 3.8$ )	410 (March 15–May 17) 54 (Jul 3–Jul 16) 350 (Sep 20–Sep 22) 62 (Jan 6–)
New York City			0.45 ( $R_{0} = 4.5$ )	30 (March 15–Apr 11) 600 (Aug 9–Sep 1) 60 (Jan 19–)
Atlanta			0.35 ( $R_{0} = 3.5$ )	290 (March 15–Jun 11) 92 (Jul 4–Jul 27) 420 (Sep 14–Sep 15) 58 (Jan 8–)

The initial basic reproduction number, $R_{0}$ = $\frac{β_{0}}{γ}$ , represents the expected number of secondary infections if an infectious individual was placed in the population, without any social preventative measures. $d_{I}$ values represent its constant value in each of the corresponding behavioral periods. Smooth transitions between constant values of $d_{I}$ were applied.