The authors regret that the results of serial interval distributions for COVID-19 in Table 2 using a lognormal model should be revised as below (marked as italic fonts).
Table 2. Estimated serial interval distributions for COVID-19 based on 69 infector-infectee pairs with symptom onset dates.
| Lognormal | Gamma | Weibull | |
|---|---|---|---|
| Median (95% CI) | 3.18 (2.22–4.24) | 3.75 (2.87–4.72) | 3.93 (3.04–4.92) |
| Parameter 1 | 1.84 (1.67–1.99) | 3.45 (2.56–5.19) | 1.96 (1.64–2.44) |
| Parameter 2 | 0.75 (0.47–1.03) | 2.19 (1.44–2.91) | 8.47 (7.53–9.53) |
| Log-likelihood | −77.5 | −192.8 | −189.8 |
We set the support of the serial interval distribution as −3.1 days given the lowest value of −3.0 days in our data. For the lognormal distribution, parameter 1 and parameter 2 are the mean and SD of the natural logarithm and for all other distributions, parameter 1 and parameter 2 are the shape and scale parameters, respectively.
Code and data to reproduce the analyses are also available as an R package at https://github.com/gbaek/COVID19-Transmission-Onset.
The authors would like to apologise for any inconvenience caused.