Table 4 Percentage error between actual and predicted cases.

From: Exploring dependence of COVID-19 on environmental factors and spread prediction in India

Infected cases

Recovered cases

Susceptible cases

Date

Actual values

Predicted values

Error (%)

Date

Actual values

Predicted values

Error (%)

Date

Actual values

Predicted values

Error (%)

16-June

343,091

338,149

1.5

16-June

184,340

179,444

2.7

16-June

5,920,000

5,827,103

1.6

23-June

440,215

430,173

2.3

23-June

255,362

251,851

1.4

23-June

7,140,000

7,050,793

1.2

30-June

566,840

550,827

2.9

30-June

344,624

335,809

2.6

30-June

8,610,000

8,531,460

0.9

07-July

719,665

698,347

3.1

07-July

453,846

446,163

1.7

07-July

10,210,000

9,981,804

2.2

  1. The number of cases for Case B are validated for four weeks i.e., mid of June to start of July 2020. The percentage error between the actual reported cases and modelled cases varies in between 0.9–2.9 for infected, recovered and susceptible cases. Weekly error percentages for all the parameters are shown and are acceptable in nature.
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