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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.
Qin, Jing; You, Chong; Lin, Qiushi; Hu, Taojun; Yu, Shicheng; Zhou, Xiao-Hua.
  • Qin J; Biostatistics Research Branch, National Institute of Allergy and Infectious Diseases, National Institutes of Health, Rockville, MD 20852, USA.
  • You C; Beijing International Center for Mathematical Research, Peking University, 100871, China.
  • Lin Q; Beijing International Center for Mathematical Research, Peking University, 100871, China.
  • Hu T; School of Mathematical Sciences, Peking University, 100871, China.
  • Yu S; Office for Epidemiology, Chinese Center for Disease Control and Prevention, 102206, China.
  • Zhou XH; Beijing International Center for Mathematical Research, Peking University, 100871, China.
Sci Adv ; 6(33): eabc1202, 2020 08.
Article in English | MEDLINE | ID: covidwho-733187
ABSTRACT
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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Full text: Available Collection: International databases Database: MEDLINE Main subject: Pneumonia, Viral / Models, Statistical / Coronavirus Infections / Infectious Disease Incubation Period / Betacoronavirus Type of study: Cohort study / Observational study / Prognostic study / Randomized controlled trials Topics: Long Covid Limits: Adolescent / Adult / Aged / Child / Child, preschool / Female / Humans / Infant / Male / Middle aged Country/Region as subject: Asia Language: English Journal: Sci Adv Year: 2020 Document Type: Article Affiliation country: Sciadv.abc1202

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Full text: Available Collection: International databases Database: MEDLINE Main subject: Pneumonia, Viral / Models, Statistical / Coronavirus Infections / Infectious Disease Incubation Period / Betacoronavirus Type of study: Cohort study / Observational study / Prognostic study / Randomized controlled trials Topics: Long Covid Limits: Adolescent / Adult / Aged / Child / Child, preschool / Female / Humans / Infant / Male / Middle aged Country/Region as subject: Asia Language: English Journal: Sci Adv Year: 2020 Document Type: Article Affiliation country: Sciadv.abc1202