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. 2022 Dec 22;17(1):1–9. doi: 10.21010/Ajidv17i1.1

Table 7.

15 day forecasting for the daily COVID-19 per million cases using ARIMA (11,1,9) model.

Observation No. Point Forecast 80 % [L, U] 95 %[L, U]
499 1404.11 [104.657, 2703.563] [-583.232, 3391.452]
500 5748.161 [4443.508, 7052.814] [3752.866, 7743.456]
501 1680.23 [375.414, 2985.047] [-315.315, 3675.775]
502 1390.971 [-22.331, 2804.273] [-770.487, 3552.430]
503 3271.865 [1843.662, 4700.069] [1087.617, 5456.114]
504 3957.906 [2526.972, 5388.841] [1769.481, 6146.332]
505 851.2315 [-582.394, 2284.857] [-1341.31, 3043.773]
506 1756.19 [293.728, 3218.653] [-480.453, 3992.834]
507 5223.569 [3759.226, 6687.912] [2984.049, 7463.088]
508 1914.037 [441.259, 3386.814] [-338.382, 4166.455]
509 1517.278 [27.764, 3006.793] [-760.738, 3795.294]
510 3175.333 [1685.812, 4664.855] [897.307, 5453.360]
511 4392.675 [2900.543, 5884.807] [2110.655, 6674.695]
512 615.8379 [-878.250, 2109.925] [-1669.170, 2900.847]
513 2112.737 [554.377, 3671.096] [-270.569, 4496.042]