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. Author manuscript; available in PMC: 2021 Dec 2.
Published in final edited form as: IEEE Access. 2020 Sep 30;8:175244–175264. doi: 10.1109/ACCESS.2020.3019922

TABLE 4.

Average mean absolute percentage errors (MAPEs) of the forecasts of the epidemic evolution in the USA, obtained with the proposed algorithm, and with the SIR-fit and GSEIR-fit curve-fitting approaches, for different forecast horizons, that is, 3, 7, and 14 days. The uppermost table reports the average MAPEs computed over the interval from March 10 to July 17; the lowermost table reports the average MAPEs computed over the interval from April 1 to July 17.

Algorithm 3 Days (%) 7 Days (%) 14 Days (%)
Proposed 7.3 11.9 29.8
SIR-fit 81.6 122.4 232.4
GSEIR-fit 14.0 20.0 35.2
Average over the interval from March 10 to July 17
Algorithm 3 Days (%) 7 Days (%) 14 Days (%)
Proposed 3.4 4.5 7.2
SIR-fit 91.4 138.8 267.6
GSEIR-fit 12.1 17.0 28.7
Average over the interval from April 1 to July 17