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Estimation of incubation period distribution of COVID-19 using disease onset forward time: A novel cross-sectional and forward follow-up study

We have proposed a novel, accurate low-cost method to estimate the incubation-period distribution of COVID-19 by conducting a cross-sectional and forward follow-up study. We identified those presymptomatic individuals at their time of departure from Wuhan and followed them until the development of s...

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Autores principales: Qin, Jing, You, Chong, Lin, Qiushi, Hu, Taojun, Yu, Shicheng, Zhou, Xiao-Hua
Formato: Online Artículo Texto
Lenguaje:English
Publicado: American Association for the Advancement of Science 2020
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7428324/
https://www.ncbi.nlm.nih.gov/pubmed/32851189
http://dx.doi.org/10.1126/sciadv.abc1202
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author Qin, Jing
You, Chong
Lin, Qiushi
Hu, Taojun
Yu, Shicheng
Zhou, Xiao-Hua
author_facet Qin, Jing
You, Chong
Lin, Qiushi
Hu, Taojun
Yu, Shicheng
Zhou, Xiao-Hua
author_sort Qin, Jing
collection PubMed
description We have proposed a novel, accurate low-cost method to estimate the incubation-period distribution of COVID-19 by conducting a cross-sectional and forward follow-up study. We identified those presymptomatic individuals at their time of departure from Wuhan and followed them until the development of symptoms. The renewal process was adopted by considering the incubation period as a renewal and the duration between departure and symptoms onset as a forward time. Such a method enhances the accuracy of estimation by reducing recall bias and using the readily available data. The estimated median incubation period was 7.76 days [95% confidence interval (CI): 7.02 to 8.53], and the 90th percentile was 14.28 days (95% CI: 13.64 to 14.90). By including the possibility that a small portion of patients may contract the disease on their way out of Wuhan, the estimated probability that the incubation period is longer than 14 days was between 5 and 10%.
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spelling pubmed-74283242020-08-25 Estimation of incubation period distribution of COVID-19 using disease onset forward time: A novel cross-sectional and forward follow-up study Qin, Jing You, Chong Lin, Qiushi Hu, Taojun Yu, Shicheng Zhou, Xiao-Hua Sci Adv Research Articles We have proposed a novel, accurate low-cost method to estimate the incubation-period distribution of COVID-19 by conducting a cross-sectional and forward follow-up study. We identified those presymptomatic individuals at their time of departure from Wuhan and followed them until the development of symptoms. The renewal process was adopted by considering the incubation period as a renewal and the duration between departure and symptoms onset as a forward time. Such a method enhances the accuracy of estimation by reducing recall bias and using the readily available data. The estimated median incubation period was 7.76 days [95% confidence interval (CI): 7.02 to 8.53], and the 90th percentile was 14.28 days (95% CI: 13.64 to 14.90). By including the possibility that a small portion of patients may contract the disease on their way out of Wuhan, the estimated probability that the incubation period is longer than 14 days was between 5 and 10%. American Association for the Advancement of Science 2020-08-14 /pmc/articles/PMC7428324/ /pubmed/32851189 http://dx.doi.org/10.1126/sciadv.abc1202 Text en Copyright © 2020 The Authors, some rights reserved; exclusive licensee American Association for the Advancement of Science. No claim to original U.S. Government Works. Distributed under a Creative Commons Attribution License 4.0 (CC BY). https://creativecommons.org/licenses/by/4.0/ https://creativecommons.org/licenses/by/4.0/ This is an open-access article distributed under the terms of the Creative Commons Attribution license (https://creativecommons.org/licenses/by/4.0/) , which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
spellingShingle Research Articles
Qin, Jing
You, Chong
Lin, Qiushi
Hu, Taojun
Yu, Shicheng
Zhou, Xiao-Hua
Estimation of incubation period distribution of COVID-19 using disease onset forward time: A novel cross-sectional and forward follow-up study
title Estimation of incubation period distribution of COVID-19 using disease onset forward time: A novel cross-sectional and forward follow-up study
title_full Estimation of incubation period distribution of COVID-19 using disease onset forward time: A novel cross-sectional and forward follow-up study
title_fullStr Estimation of incubation period distribution of COVID-19 using disease onset forward time: A novel cross-sectional and forward follow-up study
title_full_unstemmed Estimation of incubation period distribution of COVID-19 using disease onset forward time: A novel cross-sectional and forward follow-up study
title_short Estimation of incubation period distribution of COVID-19 using disease onset forward time: A novel cross-sectional and forward follow-up study
title_sort estimation of incubation period distribution of covid-19 using disease onset forward time: a novel cross-sectional and forward follow-up study
topic Research Articles
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7428324/
https://www.ncbi.nlm.nih.gov/pubmed/32851189
http://dx.doi.org/10.1126/sciadv.abc1202
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