Risk Management and Healthcare Policy · 2020 · 50 citations · 20 references
Veterinary MedicineInfectious DiseasesEpidemiologic MethodsEpidemiologyInfectious Disease EpidemiologyContact TracingIncubation Period AnalysisInfectious Disease SurveillanceTime-to-event AnalysisAge-specific Incubation PeriodsContact Tracing Data AnalysisFailure-time ModelsIncubation Period DistributionInterval-censored Accelerated Failure Time ModelsOutbreak Incubation AnalysisTimeliness Of Contact TracingWeibull Model
BACKGROUND: Factors associated with the incubation period of COVID-19 are not fully known. The aim of this study was to estimate the incubation period of COVID-19 using epidemiological contact tracing data, and to explore whether there were different incubation periods among different age gr1oups. METHODS: We collected contact tracing data in a municipality in Hubei province during the full outbreak period of COVID-19. The exposure periods were inferred from the history of travel in Wuhan and/or history of exposure to confirmed cases. The incubation periods were estimated using parametric accelerated failure time models accounting for interval censoring of exposures. RESULTS: The incubation period of COVID-19 follows a Weibull distribution and has a median of 5.8 days with a bootstrap 95% CI: 5.4-6.7 days. Of the symptomatic cases, 95% showed symptoms by 14.3 days (95% CI: 13.0-15.7), and 99% showed symptoms by 18.7 days (95% CI: 16.7-20.9). The incubation periods were not found significantly different between male and female. Elderly cases had significant longer incubation periods than young age cases (HR 1.49 with 95% CI: 1.09-2.05). The median incubation period was estimated at 4.0 days (95% CI: 3.5-4.4) for cases aged under 30, 5.8 days (95% CI: 5.6-6.0) for cases aged between 30 and 59, and 7.7 days (95% CI: 6.9-8.4) for cases aged greater than or equal to 60. CONCLUSION: The current practice of a 14-day quarantine period in many regions is reasonable for any age. Older people infected with SARS-CoV2 have longer incubation period than that of younger people. Thus, more attention should be paid to asymptomatic elderly people who had a history of exposure.
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R: A Language and Environment for Statistical Computing
R Core Team · 2000 · 353K citations · Full text
Natural Sciences, Computer Science, Statistical Computing +10
Clinical Characteristics of Coronavirus Disease 2019 in China
Wei‐jie Guan, Zhengyi Ni, Yu Hu et al. · New England Journal of Medicine · 2020 · 31.2K citations · Full text
Veterinary Medicine, Infectious Diseases, Internal Medicine +10
Stephen A. Lauer, Kyra H. Grantz, Qifang Bi et al. · Annals of Internal Medicine · 2020 · 6.6K citations · Full text
Veterinary Medicine, Infectious Disease Control, Infectious Diseases +17