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      Serial interval of novel coronavirus (COVID-19) infections

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          Highlights

          • The serial interval of novel coronavirus (COVID-19) infections was estimated from a total of 28 infector-infectee pairs.

          • The median serial interval is shorter than the median incubation period, suggesting a substantial proportion of pre-symptomatic transmission.

          • A short serial interval makes it difficult to trace contacts due to the rapid turnover of case generations.

          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.

          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.

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          Author and article information

          Contributors
          Journal
          Int J Infect Dis
          Int. J. Infect. Dis
          International Journal of Infectious Diseases
          The Author(s). Published by Elsevier Ltd on behalf of International Society for Infectious Diseases.
          1201-9712
          1878-3511
          4 March 2020
          4 March 2020
          Affiliations
          [a ]Graduate School of Medicine, Hokkaido University, Kia 15 Jo Nishi 7 Chome, Kitaku, Sapporo, 060-8638, Japan
          [b ]CREST, Japan Science and Technology Agency, Honcho 4-1-8, Kawaguchi, Saitama, 332-0012 Japan
          Author notes
          [* ]Corresponding author at: Graduate School of Medicine, Hokkaido University, Kia 15 Jo Nishi 7 Chome, Kitaku, Sapporo, 060-8638, Japan. nishiurah@ 123456med.hokudai.ac.jp
          Article
          S1201-9712(20)30119-3
          10.1016/j.ijid.2020.02.060
          7128842
          32145466
          3f4e0745-4615-452b-8f8f-27e1baadc0d4
          © 2020 The Author(s). Published by Elsevier Ltd on behalf of International Society for Infectious Diseases.

          Since January 2020 Elsevier has created a COVID-19 resource centre with free information in English and Mandarin on the novel coronavirus COVID-19. The COVID-19 resource centre is hosted on Elsevier Connect, the company's public news and information website. Elsevier hereby grants permission to make all its COVID-19-related research that is available on the COVID-19 resource centre - including this research content - immediately available in PubMed Central and other publicly funded repositories, such as the WHO COVID database with rights for unrestricted research re-use and analyses in any form or by any means with acknowledgement of the original source. These permissions are granted for free by Elsevier for as long as the COVID-19 resource centre remains active.

          History
          : 14 February 2020
          : 25 February 2020
          : 27 February 2020
          Categories
          Article

          Infectious disease & Microbiology
          coronavirus,outbreak,illness onset,generation time,statistical model,epidemiology,viruses

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