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. 2022 Sep 13:111278. Online ahead of print. doi: 10.1016/j.jtbi.2022.111278

Table 2.

Doubling time by the time period and length of observation during the course of an epidemic based on SIR epidemic model.

Period used to estimate doubling time All observed days used Number of recent days used
7 days 14 days 21 days
0 – 25 3.04 (3.02, 3.06) 1.55 (1.46, 1.67) 2.09 (2.03, 2.15) 2.40 (2.37, 2.44)
0 – 30 3.13 (3.12, 3.15) 1.58 (1.48, 1.71) 2.11 (2.05, 2.18) 2.43 (2.39, 2.47)
0 – 35 3.23 (3.22, 3.25) 1.64 (1.53, 1.79) 2.18 (2.11, 2.27) 2.49 (2.45, 2.54)
0 – 40 3.37 (3.35, 3.40) 1.77 (1.63, 1.97) 2.33 (2.24, 2.46) 2.63 (2.57, 2.70)
0 – 45 3.57 (3.54, 3.61) 1.97 (1.79, 2.26) 2.62 (2.48, 2.82) 2.89 (2.80, 3.02)
0 – 50 3.82 (3.78, 3.88) 2.19 (1.96, 2.56) 3.06 (2.85, 3.36) 3.34 (3.18, 3.55)
0 – 55 4.12 (4.05, 4.19) 2.32 (2.06, 2.74) 3.54 (3.25, 3.97) 3.98 (3.74, 4.31)
0 – 60 4.43 (4.36, 4.53) 2.37 (2.11, 2.81) 3.87 (3.54, 4.39) 4.72 (4.39, 5.22)
0 – 65 2.38 (2.11, 2.83) 4.02 (3.67, 4.58) 5.34 (4.92, 5.96)
0 – 70 2.38 (2.11, 2.82) 4.06 (3.70, 4.63) 5.66 (5.20, 6.34)

Numbers in parenthesis represent 95% confidence intervals as computed via the profile likelihood method. During the maximum likelihood estimation, daily cases were assumed to follow Gaussian distribution.