tetano
Editor, Senior Moderator
Int J Infect Dis. 2020 Mar 4. pii: S1201-9712(20)30119-3. doi: 10.1016/j.ijid.2020.02.060. [Epub ahead of print] [h=1]Serial interval of novel coronavirus (COVID-19) infections.[/h]
Nishiura H[SUP]1[/SUP], Linton NM[SUP]2[/SUP], Akhmetzhanov AR[SUP]2[/SUP].
[h=3]Author information[/h]
[h=3]Abstract[/h] [h=4]OBJECTIVE:[/h] To estimate the serial interval of novel coronavirus (COVID-19) from information on 28 infector-infectee pairs.
[h=4]METHODS:[/h] We collected dates of illness onset for primary cases (infectors) and secondary cases (infectees) from published research articles and case investigation reports. We subjectively ranked the credibility of the data and performed analyses on both the full dataset (n = 28) and a subset of pairs with highest certainty in reporting (n = 18). In addition, we adjust for right truncation of the data as the epidemic is still in its growth phase.
[h=4]RESULTS:[/h] Accounting for right truncation and analyzing all pairs, we estimated the median serial interval at 4.0 days (95% credible interval [CrI]: 3.1, 4.9). Limiting our data to only the most certain pairs, the median serial interval was estimated at 4.6 days (95% CrI: 3.5, 5.9).
[h=4]CONCLUSIONS:[/h] The serial interval of COVID-19 is close to or shorter than its median incubation period. This suggests that a substantial proportion of secondary transmission may occur prior to illness onset. The COVID-19 serial interval is also shorter than the serial interval of severe acute respiratory syndrome (SARS), indicating that calculations made using the SARS serial interval may introduce bias.
Copyright ? 2020. Published by Elsevier Ltd.
[h=4]KEYWORDS:[/h] Coronavirus; Epidemiology; Generation time; Illness onset; Outbreak; Statistical model; Viruses
PMID: 32145466 DOI: 10.1016/j.ijid.2020.02.060
Nishiura H[SUP]1[/SUP], Linton NM[SUP]2[/SUP], Akhmetzhanov AR[SUP]2[/SUP].
[h=3]Author information[/h]
[h=3]Abstract[/h] [h=4]OBJECTIVE:[/h] To estimate the serial interval of novel coronavirus (COVID-19) from information on 28 infector-infectee pairs.
[h=4]METHODS:[/h] We collected dates of illness onset for primary cases (infectors) and secondary cases (infectees) from published research articles and case investigation reports. We subjectively ranked the credibility of the data and performed analyses on both the full dataset (n = 28) and a subset of pairs with highest certainty in reporting (n = 18). In addition, we adjust for right truncation of the data as the epidemic is still in its growth phase.
[h=4]RESULTS:[/h] Accounting for right truncation and analyzing all pairs, we estimated the median serial interval at 4.0 days (95% credible interval [CrI]: 3.1, 4.9). Limiting our data to only the most certain pairs, the median serial interval was estimated at 4.6 days (95% CrI: 3.5, 5.9).
[h=4]CONCLUSIONS:[/h] The serial interval of COVID-19 is close to or shorter than its median incubation period. This suggests that a substantial proportion of secondary transmission may occur prior to illness onset. The COVID-19 serial interval is also shorter than the serial interval of severe acute respiratory syndrome (SARS), indicating that calculations made using the SARS serial interval may introduce bias.
Copyright ? 2020. Published by Elsevier Ltd.
[h=4]KEYWORDS:[/h] Coronavirus; Epidemiology; Generation time; Illness onset; Outbreak; Statistical model; Viruses
PMID: 32145466 DOI: 10.1016/j.ijid.2020.02.060