Table 1.

Fitting results on the relation between the daily increase rate and the number of cumulative cases using the linear Eq. 3

Countries	Cumulative cases				Time (days)
	a	b (× 105)	p	r2	a	b	p	r2
China	0.3239	− 0.4281	0.0000	0.79	0.3656	− 0.0098	0.0000	0.77
R. Korea	0.3886	− 4.4526	0.0000	0.79	0.3208	− 0.0103	0.0000	0.60
Italy	0.2482	− 0.1964	0.0000	0.57	0.3329	− 0.0080	0.0000	0.73
Spain	0.2807	− 0.2004	0.0000	0.64	0.3624	− 0.0093	0.0000	0.69
Germany	0.2506	− 0.2332	0.0000	0.37	0.3149	− 0.0074	0.0000	0.37
France	0.2494	− 0.3134	0.0000	0.44	0.3338	− 0.0085	0.0000	0.59
Iran	0.2465	− 0.4533	0.0000	0.40	0.3303	− 0.0089	0.0000	0.60

a and b are the model coefficients defined in Eq. 3. p represents the significance of the model fit and r² represents goodness of the fit