Cargando…
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...
Autores principales: | , , , , , , , , , , , |
---|---|
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 |
_version_ | 1783665005490601984 |
---|---|
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. |
format | Online Article Text |
id | pubmed-7959696 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2021 |
publisher | The Authors. Published by Elsevier B.V. |
record_format | MEDLINE/PubMed |
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 |
work_keys_str_mv | AT ejimakeisuke estimationoftheincubationperiodofcovid19usingviralloaddata AT kimkwangsu estimationoftheincubationperiodofcovid19usingviralloaddata AT ludemachristina estimationoftheincubationperiodofcovid19usingviralloaddata AT bentoanai estimationoftheincubationperiodofcovid19usingviralloaddata AT iwanamishoya estimationoftheincubationperiodofcovid19usingviralloaddata AT fujitayasuhisa estimationoftheincubationperiodofcovid19usingviralloaddata AT ohashihirofumi estimationoftheincubationperiodofcovid19usingviralloaddata AT koizumiyoshiki estimationoftheincubationperiodofcovid19usingviralloaddata AT watashikoichi estimationoftheincubationperiodofcovid19usingviralloaddata AT aiharakazuyuki estimationoftheincubationperiodofcovid19usingviralloaddata AT nishiurahiroshi estimationoftheincubationperiodofcovid19usingviralloaddata AT iwamishingo estimationoftheincubationperiodofcovid19usingviralloaddata |