Table 1.
Characteristics of the included studies in the meta-analysis of serial interval (SI) of COVID-19.
| Authors | Study Area | Time Period | Methodology | Sample Size | SI | 95% CI | |
|---|---|---|---|---|---|---|---|
| Hiroshi Nishiura et al.19 | World | Up to 12th February 2020 | Bayesian Approach with double interval censoring | 28 | 4.7 | 3.7 | 6.0 |
| Zhanwei Du et al.20 | China | 21st January – 8th February 2020 | Fitting a normal distribution | 468 | 3.96 | 3.53 | 4.39 |
| Qun Li et al.21 | Wuhan | Up to 22nd January 2020 | Fitting a gamma distribution for laboratory-confirmed cases | 6 | 7.5 | 4.1 | 10.9 |
| Moran Ki17 | Korea | Up to 20th January 2020 | Calculating the mean of differences in time of symptoms | 7 | 6.3 | 4.1 | 8.5 |
| Juanjuan Zhang et al.22 | China | 19th January – 17th February 2020 | Fitting a gamma distribution | 35 | 5.1 | 1.3 | 11.6 |
| Shi Zhao et al.23 | Hong Kong | 16th January – 15th February 2020 | Fitting a gamma distribution | 21 | 4.4 | 2.9 | 6.7 |
| Ganyani Tapiwa et al.24 | Singapore | 21st January – 26th February 2020 | Bayesian Framework | 27 | 5.2 | 3.6 | 6.8 |
| Ganyani Tapiwa et al.24 | Tianjin (China) | 14th January – 27th February 2020 | Bayesian Framework | 57 | 3.9 | 2.8 | 5.1 |
| Shujuan Ma et al.25 | Seven Countries | 29th February – 2nd March 2020 | Fitting a normal distribution | 689 | 6.7 | 6.3 | 7.1 |
| Qifang Bi et al.26 | China | 14th January – 12th February 2020 | Fitting a gamma distribution | 48 | 6.3 | 5.2 | 7.6 |
| Choung You et al.27 | China | Up to 2nd February 2020 | Calculating the mean of differences in time of symptoms | 71 | 4.4 | 3.7 | 5.1 |
| Menghui Li et al.28 | China | 21st January – 29th February 2020 | Bayesian Approach with the doubly interval-censored likelihood | 337 | 5.8 | 5.4 | 6.2 |