- Table 1 Estimates for the incubation periods of SARS, MERS, and COVID-19.
NA, not available.
Incubation
distribution
metricSARS MERS COVID-19 Mean (SD) or
mean (95% CI)Hong Kong
(14): 4.4 (4.6)Saudi Arabia
(15): 5.0
(4.0–6.6)Wuhan (3): 5.2
(4.1–7.0)Beijing (14): 5.7
(9.7)South Korea
(15): 6.9 (6.3 to
7.5)Mainland China
(4): 5.2
(1.8–12.4)Taiwan (14): 6.9
(6.1)South Korea
(16): 6.9 (6.3 to
7.5)Mainland China
(6): 5.8 (4.6–7.9)Hong Kong
(17): 4.6 (15.9)Saudi Arabia
(16): 5.0 (4.4 to
6.6)Global (7): 5.6
(5.0–6.3)Mainland China
(20): 5.29
(12.33)South Korea
(19): 6.7 (6.1 to
7.3)Global (8): 5.5 Singapore (21):
4.83 (4.37–5.29)Hong Kong
(21): 6.37
(5.29–7.75)Median or
median (95% CI)Hong Kong,
Canada, and
USA (22): 4South Korea
(19): 6.0
(4.0–7.0)Mainland China
(5): 3.0Middle East
(23): 5.2
(1.9–14.7)Global (8): 5.1
(4.5–5.8)South Korea
(24): 6.3
(5.7–6.8)Percentiles Mainland
China, 90% (18):
10.7NA Mainland
China, 2.5% (6):
1.3Hong Kong,
Canada, and
USA, 90% (22):
12Wuhan, 95%
(3): 12.5Singapore, 95%
(20): 9.66 (0.5)Mainland
China, 97.5%
(6): 11.3Mainland
China, 95% (18):
13.91Global, 2.5% (8):
2.2 (1.8–2.9)Hong Kong,
95% (21): 14.22Global, 97.5%
(8): 11.5
(8.2–15.6)Mainland
China, 99% (18):
20.08 - Table 2 Comparison between the demographic characteristics of patients with COVID-19 in the studying cohort and all publicly available cases collected as of 15 February 2020.
Age group
(years)Female Male No information Study cohort All cases Study cohort All cases Study cohort All cases 468 (43.3)* 4121 (47.3) 614 (57.1) 4597 (52.7) 2 4245 0–19 17 (3.7) 126 (3.2) 24 (4.0) 180 (4.2) 0 3 20–39 189 (40.9) 1250 (32.2) 292 (48.3) 1508 (35.0) 1 48 40–59 195 (42.2) 1667 (43.0) 226 (37.4) 1843 (42.8) 0 57 60–79 60 (13.0) 749 (19.3) 62 (10.2) 701 (16.3) 0 40 ≥80 1 (0.2) 85 (2.2) 1 (0.2) 78 (1.8) 0 8 No information 6 244 9 287 0 4089 *Number (%). The percentages do not take missing data into account.
- Table 3 Results of our model based on different choices of π.
Scenario Reference
caseAdditional % infected on the Wuhan
departure dayπ = 0 π = 5% π = 10% π = 20% 1.97
(1.75, 2.28)1.93
(1.72, 2.22)1.89
(1.69, 2.12)1.81
(1.66, 2.02)0.11
(0.1, 0.12)0.11
(0.1, 0.12)0.11
(0.11, 0.12)0.12
(0.11, 0.13)Mean 8.29
(7.67, 8.9)8.01
(7.45, 8.61)7.75
(7.23, 8.31)7.32
(6.85, 7.8)5% 2.07
(1.6, 2.69)1.93
(1.5, 2.52)1.81
(1.42, 2.3)1.60
(1.29, 2)25% 4.97
(4.25, 5.78)4.73
(4.07, 5.49)4.51
(3.92, 5.19)4.14
(3.66, 4.7)Median 7.76
(7.02, 8.53)7.47
(6.78, 8.18)7.19
(6.55, 7.9)6.73
(6.19, 7.3)75% 11.04
(10.34, 11.66)10.7
(10.07, 11.35)10.38
(9.78, 10.98)9.86
(9.3, 10.4)90% 14.28
(13.64, 14.9)13.92
(13.32, 14.57)13.59
(12.99, 14.17)13.04
(12.44, 13.59)95% 16.32
(15.62, 17.04)15.95
(15.3, 16.65)15.62
(14.91, 16.26)15.07
(14.38, 15.72)99% 20.31
(19.15, 21.47)19.94
(18.87, 20.98)19.62
(18.52, 20.62)19.1
(17.98, 20.11)99.9% 24.95
(23.04, 26.81)24.6
(22.78, 26.31)24.33
(22.65, 26.03)23.89
(22.05, 25.43)−Log
likelihood2843.00
(2796.63,
2889.72)2843.21
(2799.86,
2891.41)2843.57
(2795.53,
2887.36)2844.96
(2796.74,
2890.19)
Supplementary Materials
Supplementary material for this article is available at http://advances.sciencemag.org/cgi/content/full/6/33/eabc1202/DC1
Additional Files
Supplementary Materials
Estimation of incubation period distribution of COVID-19 using disease onset forward time: a novel cross-sectional and forward follow-up study
Jing Qin, Chong You, Qiushi Lin, Taojun, Shicheng Yu, Xiao-Hua Zhou
This PDF file includes:
- Sections S1 to S4
- Table S1
- Fig. S1
Files in this Data Supplement: