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  1. Article ; Online: Characteristics of Viral Shedding Time in SARS-CoV-2 Infections: A Systematic Review and Meta-Analysis.

    Yan, Danying / Zhang, Xiaobao / Chen, Can / Jiang, Daixi / Liu, Xiaoxiao / Zhou, Yuqing / Huang, Chenyang / Zhou, Yiyi / Guan, Zhou / Ding, Cheng / Chen, Lu / Lan, Lei / Fu, Xiaofang / Wu, Jie / Li, Lanjuan / Yang, Shigui

    Frontiers in public health

    2021  Volume 9, Page(s) 652842

    Abstract: Background: ...

    Abstract Background:
    MeSH term(s) Adrenal Cortex Hormones/therapeutic use ; Adult ; Asymptomatic Infections ; COVID-19/virology ; Child ; Comorbidity ; Feces/virology ; Humans ; SARS-CoV-2/physiology ; Virus Shedding
    Chemical Substances Adrenal Cortex Hormones
    Language English
    Publishing date 2021-03-19
    Publishing country Switzerland
    Document type Journal Article ; Meta-Analysis ; Research Support, Non-U.S. Gov't ; Systematic Review
    ZDB-ID 2711781-9
    ISSN 2296-2565 ; 2296-2565
    ISSN (online) 2296-2565
    ISSN 2296-2565
    DOI 10.3389/fpubh.2021.652842
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  2. Article ; Online: Characteristics of Viral Shedding Time in SARS-CoV-2 Infections

    Danying Yan / Xiaobao Zhang / Can Chen / Daixi Jiang / Xiaoxiao Liu / Yuqing Zhou / Chenyang Huang / Yiyi Zhou / Zhou Guan / Cheng Ding / Lu Chen / Lei Lan / Xiaofang Fu / Jie Wu / Lanjuan Li / Shigui Yang

    Frontiers in Public Health, Vol

    A Systematic Review and Meta-Analysis

    2021  Volume 9

    Abstract: Background: The viral shedding time (VST) of SARS-CoV-2 mainly determines its transmission and ... in SARS-CoV-2 infections based on different demographic and clinical characteristics, treatments and ... a meta-analysis to comprehensively summarize the VST of SARS-CoV-2.Methods: We searched PubMed, Web of Science ...

    Abstract Background: The viral shedding time (VST) of SARS-CoV-2 mainly determines its transmission and duration of infectiousness. However, it was heterogeneous in the existing studies. Here, we performed a meta-analysis to comprehensively summarize the VST of SARS-CoV-2.Methods: We searched PubMed, Web of Science, MedRxiv, BioRxiv, CNKI, CSTJ, and Wanfang up to October 25, 2020, for studies that reported VSTs of SARS-CoV-2. Pooled estimates and 95% CIs for the VSTs were calculated using log-transformed data. The VSTs in SARS-CoV-2 infections based on different demographic and clinical characteristics, treatments and specimens were stratified by subgroup analysis.Results: A total of 35 studies involving 3,385 participants met the inclusion criteria. The pooled mean VST was 16.8 days (95% CI: 14.8–19.4, I2 = 99.56%) in SARS-CoV-2 infections. The VST was significantly longer in symptomatic infections (19.7 days, 95% CI: 17.2–22.7, I2 = 99.34%) than in asymptomatic infections (10.9 days, 95% CI: 8.3–14.3, I2 = 98.89%) (P < 0.05). The VST was 23.2 days (95% CI: 19.0–28.4, I2 = 99.24%) in adults, which was significantly longer than that in children (9.9 days, 95% CI: 8.1–12.2, I2 = 85.74%) (P < 0.05). The VST was significantly longer in persons with chronic diseases (24.2 days, 95% CI: 19.2–30.2, I2 = 84.07%) than in those without chronic diseases (11.5 days, 95% CI: 5.3–25.0, I2 = 82.11%) (P < 0.05). Persons receiving corticosteroid treatment (28.3 days, 95% CI: 25.6–31.2, I2 = 0.00%) had a longer VST than those without corticosteroid treatment (16.2 days, 95% CI: 11.5–22.5, I2 = 92.27%) (P = 0.06). The VST was significantly longer in stool specimens (30.3 days, 95% CI: 23.1–39.2, I2 = 92.09%) than in respiratory tract specimens (17.5 days, 95% CI: 14.9–20.6, I2 = 99.67%) (P < 0.05).Conclusions: A longer VST was found in symptomatic infections, infected adults, persons with chronic diseases, and stool specimens.
    Keywords viral shedding time ; SARS- CoV-2 ; COVID-19 ; systematic review ; meta-analysis ; Public aspects of medicine ; RA1-1270
    Subject code 610 ; 630
    Language English
    Publishing date 2021-03-01T00:00:00Z
    Publisher Frontiers Media S.A.
    Document type Article ; Online
    Database BASE - Bielefeld Academic Search Engine (life sciences selection)

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