Table 1.
The generalized logistic growth model estimates of COVID-19 pandemic.
Parameter | Chinese mainland | Iran | The Philippines | Chinese Taiwan |
---|---|---|---|---|
R2a | 0.997 | 0.995 | 0.995 | 0.99 |
α[95% CIb] | 0.99 [0.97, 1.02] | 1 [0.8, 1.6] | 0.99 [0.35, 1.63] | 0.98 [0.88, 1.13] |
r[95% CIb] | 0.22 [0.21, 0.23] | 0.1 [0.09, 0.11] | 0.19 [0.18, 0.2] | 0.14 [0.13, 0.15] |
R0[95% CIb] | 3.59 [3.39, 3.79] | 1.86 [1.83, 1.89] | 3 [2.8, 3.2] | 2.26 [1.86, 2.66] |
April 10thprojected No. of cases [95% CIb] | 81796.55 [81796.53, 81796.57] | 68225 [65971, 70382] | 4430 [4172, 4669] | 425 [418, 431] |
April 10thobserved No. of cases | 81953 | 68192 | 4195 | 382 |
tmprojected [95% CIb] | 19.4 [19.14, 19.66] | 37.8 [33.9, 41.7] | 44.7 [39.9, 49.5] | 31.3 [29.86, 32.74] |
tmobserved | Day 23 (February 12th) | Day 34 (March 30th) | Day 42 (March 31st) | Day 23 (March 20th) |
Maximum No. of cases [95% CIb] | 81871 [80520, 83222] | 105547 [69451, 141643] | 6367 [0, 22374] | 483 [441, 525] |
Pandemic cessation day number and date [95% CIb] | 102 [72, 127] May 1st [April 1st, May 26th] | 213 [147, 252] September 25th [July 21st, December 3rd] | 131 [119, 157] June 28th [June 16th, July 24th] | 129 [80, 181] July 2nd [May 14th, August 23rd] |
July 1stobserved No. of cases | 83534 | 230211 | 38511 | 447 |
α, the deviation from the symmetric classic logistic curve; r, the intrinsic growth rate during the exponential phase; R0, the basic reproduction number; tm, the turning point of the model, the date in the brackets indicates the actual day where the maximum number of cases has occurred.
Pearson’s correlation goodness-of-fit of the model, p value < 2.2e−16.
CI, confidence interval.