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  1. Article ; Online: Evaluation of a high-speed but low-throughput RT-qPCR system for detection of SARS-CoV-2.

    Sakai, J / Tarumoto, N / Orihara, Y / Kawamura, R / Kodana, M / Matsuzaki, N / Matsumura, R / Ogane, K / Kawamura, T / Takeuchi, S / Imai, K / Murakami, T / Maesaki, S / Maeda, T

    The Journal of hospital infection

    2020  Volume 105, Issue 4, Page(s) 615–618

    Abstract: ... of SARS-CoV-2. The results support the use of this system for the rapid identification of SARS-CoV-2 ... coronavirus disease 2019 (COVID-19), a high-speed and convenient detection technology should be ... With the emergence of severe acute respiratory syndrome coronavirus-2 (SARS-CoV-2), which causes ...

    Abstract With the emergence of severe acute respiratory syndrome coronavirus-2 (SARS-CoV-2), which causes coronavirus disease 2019 (COVID-19), a high-speed and convenient detection technology should be at the forefront of medical care worldwide. This study evaluated the usefulness of GeneSoC, a compact, high-speed reciprocal flow quantitative reverse transcription polymerase chain reaction system, for the detection of SARS-CoV-2. The results support the use of this system for the rapid identification of SARS-CoV-2. This approach can contribute to the strategic selection of initial management strategies for patients with COVID-19.
    MeSH term(s) Betacoronavirus/genetics ; Betacoronavirus/isolation & purification ; COVID-19 ; Clinical Laboratory Techniques/methods ; Coronavirus Infections/diagnosis ; Coronavirus Infections/genetics ; Humans ; Japan ; Pandemics ; Pneumonia, Viral/diagnosis ; Pneumonia, Viral/genetics ; Real-Time Polymerase Chain Reaction/methods ; SARS-CoV-2 ; Sensitivity and Specificity
    Keywords covid19
    Language English
    Publishing date 2020-05-22
    Publishing country England
    Document type Journal Article
    ZDB-ID 779366-2
    ISSN 1532-2939 ; 0195-6701
    ISSN (online) 1532-2939
    ISSN 0195-6701
    DOI 10.1016/j.jhin.2020.05.025
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  2. Article: Evaluation of a high-speed but low-throughput RT-qPCR system for detection of SARS-CoV-2

    Sakai, J / Tarumoto, N / Orihara, Y / Kawamura, R / Kodana, M / Matsuzaki, N / Matsumura, R / Ogane, K / Kawamura, T / Takeuchi, S / Imai, K / Murakami, T / Maesaki, S / Maeda, T

    J Hosp Infect

    Abstract: ... of SARS-CoV-2. The results support the use of this system for the rapid identification of SARS-CoV-2 ... coronavirus disease 2019 (COVID-19), a high-speed and convenient detection technology should be ... With the emergence of severe acute respiratory syndrome coronavirus-2 (SARS-CoV-2), which causes ...

    Abstract With the emergence of severe acute respiratory syndrome coronavirus-2 (SARS-CoV-2), which causes coronavirus disease 2019 (COVID-19), a high-speed and convenient detection technology should be at the forefront of medical care worldwide. This study evaluated the usefulness of GeneSoC, a compact, high-speed reciprocal flow quantitative reverse transcription polymerase chain reaction system, for the detection of SARS-CoV-2. The results support the use of this system for the rapid identification of SARS-CoV-2. This approach can contribute to the strategic selection of initial management strategies for patients with COVID-19.
    Keywords covid19
    Publisher WHO
    Document type Article
    Note WHO #Covidence: #326979
    Database COVID19

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  3. Article ; Online: Evaluation of a high-speed but low-throughput RT-qPCR system for detection of SARS-CoV-2

    Sakai, J. / Tarumoto, N. / Orihara, Y. / Kawamura, R. / Kodana, M. / Matsuzaki, N. / Matsumura, R. / Ogane, K. / Kawamura, T. / Takeuchi, S. / Imai, K. / Murakami, T. / Maesaki, S. / Maeda, T.

    Journal of Hospital Infection

    2020  Volume 105, Issue 4, Page(s) 615–618

    Keywords Microbiology (medical) ; Infectious Diseases ; General Medicine ; covid19
    Language English
    Publisher Elsevier BV
    Publishing country us
    Document type Article ; Online
    ZDB-ID 779366-2
    ISSN 1532-2939 ; 0195-6701
    ISSN (online) 1532-2939
    ISSN 0195-6701
    DOI 10.1016/j.jhin.2020.05.025
    Database BASE - Bielefeld Academic Search Engine (life sciences selection)

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