Serial interval of novel coronavirus (COVID-19) infections
Date
2020Author
Nishiura, Hiroshi
Linton, Natalie M.
Akhmetzhanov, Andrei R.
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Abstract
Objective: To estimate the serial interval of novel coronavirus (COVID-19) from information on 28
infector-infectee pairs.
Methods: 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 righttruncation of the data as the epidemic is still
in its growth phase.
Results: 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).
Conclusions: 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.
© 2020 The Author(s). Published by Elsevier Ltd on behalf of International Society for Infectious Diseases.
Palabras clave
Coronavirus; Outbreak; Illness onset; Generation time; Statistical model; Epidemiology; VirusesLink to resource
https://doi.org/10.1016/j.ijid.2020.02.060Collections
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