Serial interval of novel coronavirus (COVID-19) infections

Hokkaido University · Japan Science and Technology Agency

PubMed
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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 right truncation of the data as the epidemic is still in its growth phase.

Citation impact

1,175
total citations
FWCI
38.69
Percentile
100%
References
9
Citations per year

Authors

3

Topics & keywords

Keywords
  • Interval (graph theory)
  • Coronavirus disease 2019 (COVID-19)
  • Truncation (statistics)
  • Medicine
  • Confidence interval
  • Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2)
  • Coronavirus
  • Credible interval
UN Sustainable Development Goals
  • Good health and well-being
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Funding