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Estimation of the incubation period of COVID-19 using viral load data

The incubation period, or the time from infection to symptom onset, of COVID-19 has usually been estimated by using data collected through interviews with cases and their contacts. However, this estimation is influenced by uncertainty in the cases’ recall of exposure time. We propose a novel method...

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Autores principales: Ejima, Keisuke, Kim, Kwang Su, Ludema, Christina, Bento, Ana I., Iwanami, Shoya, Fujita, Yasuhisa, Ohashi, Hirofumi, Koizumi, Yoshiki, Watashi, Koichi, Aihara, Kazuyuki, Nishiura, Hiroshi, Iwami, Shingo
Formato: Online Artículo Texto
Lenguaje:English
Publicado: The Authors. Published by Elsevier B.V. 2021
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7959696/
https://www.ncbi.nlm.nih.gov/pubmed/33773195
http://dx.doi.org/10.1016/j.epidem.2021.100454
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author Ejima, Keisuke
Kim, Kwang Su
Ludema, Christina
Bento, Ana I.
Iwanami, Shoya
Fujita, Yasuhisa
Ohashi, Hirofumi
Koizumi, Yoshiki
Watashi, Koichi
Aihara, Kazuyuki
Nishiura, Hiroshi
Iwami, Shingo
author_facet Ejima, Keisuke
Kim, Kwang Su
Ludema, Christina
Bento, Ana I.
Iwanami, Shoya
Fujita, Yasuhisa
Ohashi, Hirofumi
Koizumi, Yoshiki
Watashi, Koichi
Aihara, Kazuyuki
Nishiura, Hiroshi
Iwami, Shingo
author_sort Ejima, Keisuke
collection PubMed
description The incubation period, or the time from infection to symptom onset, of COVID-19 has usually been estimated by using data collected through interviews with cases and their contacts. However, this estimation is influenced by uncertainty in the cases’ recall of exposure time. We propose a novel method that uses viral load data collected over time since hospitalization, hindcasting the timing of infection with a mathematical model for viral dynamics. As an example, we used reported data on viral load for 30 hospitalized patients from multiple countries (Singapore, China, Germany, and Korea) and estimated the incubation period. The median, 2.5, and 97.5 percentiles of the incubation period were 5.85 days (95 % CI: 5.05, 6.77), 2.65 days (2.04, 3.41), and 12.99 days (9.98, 16.79), respectively, which are comparable to the values estimated in previous studies. Using viral load to estimate the incubation period might be a useful approach, especially when it is impractical to directly observe the infection event.
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spelling pubmed-79596962021-03-16 Estimation of the incubation period of COVID-19 using viral load data Ejima, Keisuke Kim, Kwang Su Ludema, Christina Bento, Ana I. Iwanami, Shoya Fujita, Yasuhisa Ohashi, Hirofumi Koizumi, Yoshiki Watashi, Koichi Aihara, Kazuyuki Nishiura, Hiroshi Iwami, Shingo Epidemics Article The incubation period, or the time from infection to symptom onset, of COVID-19 has usually been estimated by using data collected through interviews with cases and their contacts. However, this estimation is influenced by uncertainty in the cases’ recall of exposure time. We propose a novel method that uses viral load data collected over time since hospitalization, hindcasting the timing of infection with a mathematical model for viral dynamics. As an example, we used reported data on viral load for 30 hospitalized patients from multiple countries (Singapore, China, Germany, and Korea) and estimated the incubation period. The median, 2.5, and 97.5 percentiles of the incubation period were 5.85 days (95 % CI: 5.05, 6.77), 2.65 days (2.04, 3.41), and 12.99 days (9.98, 16.79), respectively, which are comparable to the values estimated in previous studies. Using viral load to estimate the incubation period might be a useful approach, especially when it is impractical to directly observe the infection event. The Authors. Published by Elsevier B.V. 2021-06 2021-03-15 /pmc/articles/PMC7959696/ /pubmed/33773195 http://dx.doi.org/10.1016/j.epidem.2021.100454 Text en © 2021 The Authors 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.
spellingShingle Article
Ejima, Keisuke
Kim, Kwang Su
Ludema, Christina
Bento, Ana I.
Iwanami, Shoya
Fujita, Yasuhisa
Ohashi, Hirofumi
Koizumi, Yoshiki
Watashi, Koichi
Aihara, Kazuyuki
Nishiura, Hiroshi
Iwami, Shingo
Estimation of the incubation period of COVID-19 using viral load data
title Estimation of the incubation period of COVID-19 using viral load data
title_full Estimation of the incubation period of COVID-19 using viral load data
title_fullStr Estimation of the incubation period of COVID-19 using viral load data
title_full_unstemmed Estimation of the incubation period of COVID-19 using viral load data
title_short Estimation of the incubation period of COVID-19 using viral load data
title_sort estimation of the incubation period of covid-19 using viral load data
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7959696/
https://www.ncbi.nlm.nih.gov/pubmed/33773195
http://dx.doi.org/10.1016/j.epidem.2021.100454
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