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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 2.

Average mean absolute percentage errors (MAPEs) of the forecasts of the epidemic evolution in Lombardia, Italy, 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 4 to June 16; the lowermost table reports the average MAPEs computed over the interval from April 1 to June 16.

Algorithm 3 Days (%) 7 Days (%) 14 Days (%)
Proposed 6.2 10.4 23.5
SIR-fit 77.5 115.3 225.8
GSEIR-fit 10.3 13.0 18.5
Average over the interval from March 4 to June 16
Algorithm 3 Days (%) 7 Days (%) 14 Days (%)
Proposed 3.3 4.9 9.4
SIR-fit 88.2 123.0 213.2
GSEIR-fit 11.6 13.6 16.8
Average over the interval from April 1 to June 16