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Demand for longer quarantine period among common and uncommon COVID-19 infections: a scoping review.
Li, Zhi-Yao; Zhang, Yu; Peng, Liu-Qing; Gao, Rong-Rong; Jing, Jia-Rui; Wang, Jia-Le; Ren, Bin-Zhi; Xu, Jian-Guo; Wang, Tong.
  • Li ZY; Department of Health Statistics and Epidemiology, School of Public Health, Collaborative Innovation Center of Reverse Microbial Etiology, Shanxi Medical University, 56 Xinjiannanlu Street, Yingze District, Taiyuan, 030001, Shanxi, People's Republic of China.
  • Zhang Y; Department of Health Statistics and Epidemiology, School of Public Health, Collaborative Innovation Center of Reverse Microbial Etiology, Shanxi Medical University, 56 Xinjiannanlu Street, Yingze District, Taiyuan, 030001, Shanxi, People's Republic of China.
  • Peng LQ; Department of Health Statistics and Epidemiology, School of Public Health, Collaborative Innovation Center of Reverse Microbial Etiology, Shanxi Medical University, 56 Xinjiannanlu Street, Yingze District, Taiyuan, 030001, Shanxi, People's Republic of China.
  • Gao RR; Department of Health Statistics and Epidemiology, School of Public Health, Collaborative Innovation Center of Reverse Microbial Etiology, Shanxi Medical University, 56 Xinjiannanlu Street, Yingze District, Taiyuan, 030001, Shanxi, People's Republic of China.
  • Jing JR; Department of Health Statistics and Epidemiology, School of Public Health, Collaborative Innovation Center of Reverse Microbial Etiology, Shanxi Medical University, 56 Xinjiannanlu Street, Yingze District, Taiyuan, 030001, Shanxi, People's Republic of China.
  • Wang JL; Department of Health Statistics and Epidemiology, School of Public Health, Collaborative Innovation Center of Reverse Microbial Etiology, Shanxi Medical University, 56 Xinjiannanlu Street, Yingze District, Taiyuan, 030001, Shanxi, People's Republic of China.
  • Ren BZ; Shanxi Provincial Center for Disease Control and Prevention, Taiyuan, 030001, People's Republic of China.
  • Xu JG; Shanxi Provincial Key Laboratory of Major Infectious Disease Pandemic Response, Taiyuan, 030001, People's Republic of China.
  • Wang T; State Key Laboratory of Infectious Disease Prevention and Control, National Institute for Communicable Disease Control and Prevention, Chinese Center for Disease Control and Prevention, Beijing, 102206, People's Republic of China.
Infect Dis Poverty ; 10(1): 56, 2021 Apr 26.
Article in English | MEDLINE | ID: covidwho-1204112
ABSTRACT

BACKGROUND:

As one of the non-pharmacological interventions to control the transmission of COVID-19, determining the quarantine duration is mainly based on the accurate estimates of the incubation period. However, patients with coarse information of the exposure date, as well as infections other than the symptomatic, were not taken into account in previously published studies. Thus, by using the statistical method dealing with the interval-censored data, we assessed the quarantine duration for both common and uncommon infections. The latter type includes the presymptomatic, the asymptomatic and the recurrent test positive patients.

METHODS:

As of 10 December 2020, information on cases have been collected from the English and Chinese databases, including Pubmed, Google scholar, CNKI (China National Knowledge Infrastructure) and Wanfang. Official websites and medias were also searched as data sources. All data were transformed into doubly interval-censored and the accelerated failure time model was applied. By estimating the incubation period and the time-to-event distribution of worldwide COVID-19 patients, we obtain the large percentiles for determining and suggesting the quarantine policies. For symptomatic and presymptomatic COVID-19 patients, the incubation time is the duration from exposure to symptom onset. For the asymptomatic, we substitute the date of first positive result of nucleic acid testing for that of symptom onset. Furthermore, the time from hospital discharge or getting negative test result to the positive recurrence has been calculated for recurrent positive patients.

RESULTS:

A total of 1920 laboratory confirmed COVID-19 cases were included. Among all uncommon infections, 34.1% (n = 55) of them developed symptoms or were identified beyond fourteen days. Based on all collected cases, the 95th and 99th percentiles were estimated to be 16.2 days (95% CI 15.5-17.0) and 22.9 days (21.7‒24.3) respectively. Besides, we got similar estimates based on merely symptomatic and presymptomatic infections as 15.1 days (14.4‒15.7) and 21.1 days (20.0‒22.2).

CONCLUSIONS:

There are a certain number of infected people who require longer quarantine duration. Our findings well support the current practice of the extended active monitoring. To further prevent possible transmissions induced and facilitated by such infectious outliers after the 14-days quarantine, properly prolonging the quarantine duration could be prudent for high-risk scenarios and in regions with insufficient test resources.
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Full text: Available Collection: International databases Database: MEDLINE Main subject: Quarantine / SARS-CoV-2 / COVID-19 Type of study: Observational study / Prognostic study / Reviews Topics: Long Covid Limits: Adolescent / Adult / Aged / Child / Child, preschool / Female / Humans / Infant / Male / Middle aged Language: English Journal: Infect Dis Poverty Year: 2021 Document Type: Article

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Full text: Available Collection: International databases Database: MEDLINE Main subject: Quarantine / SARS-CoV-2 / COVID-19 Type of study: Observational study / Prognostic study / Reviews Topics: Long Covid Limits: Adolescent / Adult / Aged / Child / Child, preschool / Female / Humans / Infant / Male / Middle aged Language: English Journal: Infect Dis Poverty Year: 2021 Document Type: Article