BMC Medical Informatics and Decision Making

Table 4 Evaluation of the COVID-19 outbreak prediction accuracy

From: Predictive algorithm for the regional spread of coronavirus infection across the Russian Federation

No	X_i	X_ip	σ_Ii	X_i	X_ip	σ_Ri
1	3376	3199.69	0.0027	510	550.04	0.0062
2	3531	3377.98	0.0019	649	615.34	0.0027
3	3781	3554.57	0.0036	661	685.89	0.0014
4	4039	3728.58	0.0059	694	761.82	0.0095
5	4343	3899.13	0.0104	744	843.26	0.0178
6	4594	4065.39	0.0132	764	930.29	0.0474
7	4511	4226.57	0.0040	1085	1022.97	0.0033
8	4683	4381.91	0.0041	1220	1121.34	0.0065
9	4809	4530.69	0.0033	1323	1225.42	0.0054
10	5040	4672.26	0.0053	1373	1335.18	0.0008
11	5282	4806.03	0.0081	1410	1450.6	0.0008
12	5413	4931.47	0.0079	1539	1571.61	0.0004
13	5572	5048.09	0.0088	1637	1698.13	0.0014
14	5657	5155.49	0.0079	1756	1830.03	0.0018
15	5609	5253.32	0.0040	2006	1967.2	0.0004
16	5569	5341.33	0.0017	2257	2109.46	0.0043
17	5649	5419.28	0.0017	2398	2256.63	0.0035
18	5806	5487.04	0.0030	2470	2408.53	0.0006
19	5852	5544.52	0.0028	2652	2564.93	0.0011
20	5830	5591.7	0.0017	2905	2725.6	0.0038
21	5719	5628.61	0.0002	3244	2890.28	0.0119
22	5778	5655.34	0.0005	3466	3058.72	0.0138
23	5896	5672.02	0.0014	3637	3230.64	0.0125
24	6141	5678.84	0.0057	3693	3405.75	0.0061
25	6402	5676.03	0.0129	3747	3583.76	0.0019
26	6523	5663.86	0.0173	3980	3764.38	0.0029
27	6598	5642.62	0.0210	4252	3947.28	0.0051
28	6718	5612.66	0.0271	4451	4132.17	0.0051
29	6887	5574.33	0.0363	4612	4318.74	0.0040
30	7025	5528.03	0.0454	4795	4506.66	0.0036
31	7300	5474.16	0.0626	4837	4695.64	0.0009
32	7564	5413.14	0.0809	4878	4885.37	0.0000
		σ(I)	0.0129		σ(R)	0.0058

Back to article page

ISSN: 1472-6947

Contact us

General enquiries: journalsubmissions@springernature.com