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  1. Article ; Online: Predictive values, uncertainty, and interpretation of serology tests for the novel coronavirus.

    Brownstein, Naomi C / Chen, Yian Ann

    Scientific reports

    2021  Volume 11, Issue 1, Page(s) 5491

    Abstract: ... interpretations, and plots of positive and negative predictive values under a variety of scenarios. Prevalence ... Specifically, the proportion of positive serology tests that are false can differ drastically from up to 3%-88 ... sensitivity, and specificity are estimated within ranges of values from researchers and antibodies manufacturers. Illustrative ...

    Abstract Antibodies testing in the coronavirus era is frequently promoted, but the underlying statistics behind their validation has come under more scrutiny in recent weeks. We provide calculations, interpretations, and plots of positive and negative predictive values under a variety of scenarios. Prevalence, sensitivity, and specificity are estimated within ranges of values from researchers and antibodies manufacturers. Illustrative examples are highlighted, and interactive plots are provided in the Supplementary Information. Implications are discussed for society overall and across diverse locations with different levels of disease burden. Specifically, the proportion of positive serology tests that are false can differ drastically from up to 3%-88% for people from different places with different proportions of infected people in the populations while the false negative rate is typically under 10%.
    MeSH term(s) Antibodies, Viral/blood ; COVID-19/diagnosis ; COVID-19/virology ; Coronavirus Infections/diagnosis ; Coronavirus Infections/virology ; Humans ; Predictive Value of Tests ; Reagent Kits, Diagnostic ; SARS-CoV-2/isolation & purification ; Serologic Tests/methods ; Uncertainty
    Chemical Substances Antibodies, Viral ; Reagent Kits, Diagnostic
    Language English
    Publishing date 2021-03-09
    Publishing country England
    Document type Journal Article ; Research Support, N.I.H., Extramural ; Research Support, Non-U.S. Gov't
    ZDB-ID 2615211-3
    ISSN 2045-2322 ; 2045-2322
    ISSN (online) 2045-2322
    ISSN 2045-2322
    DOI 10.1038/s41598-021-84173-1
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  2. Article: Predictive values, uncertainty, and interpretation of serology tests for the novel coronavirus.

    Brownstein, Naomi C / Chen, Yian A

    medRxiv : the preprint server for health sciences

    2020  

    Abstract: ... interpretations, and plots of positive and negative predictive values under a variety of scenarios. Prevalence ... Specifically, the proportion of positive serology tests that are false can differ drastically from up to 3 ... sensitivity, and specificity are estimated within ranges of values from researchers and antibodies manufacturers. Illustrative ...

    Abstract Antibodies testing in the coronavirus era is frequently promoted, but the underlying statistics behind their validation has come under more scrutiny in recent weeks. We provide calculations, interpretations, and plots of positive and negative predictive values under a variety of scenarios. Prevalence, sensitivity, and specificity are estimated within ranges of values from researchers and antibodies manufacturers. Illustrative examples are highlighted, and interactive plots are provided in the Supplementary Material. Implications are discussed for society overall and across diverse locations with different levels of disease burden. Specifically, the proportion of positive serology tests that are false can differ drastically from up to 3% to 88% for people from different places with different proportions of infected people in the populations while the false negative rate is typically under 10%.
    Keywords covid19
    Language English
    Publishing date 2020-12-15
    Publishing country United States
    Document type Preprint
    DOI 10.1101/2020.06.04.20122358
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  3. Article ; Online: Predictive values, uncertainty, and interpretation of serology tests for the novel coronavirus

    Naomi C. Brownstein / Yian Ann Chen

    Scientific Reports, Vol 11, Iss 1, Pp 1-

    2021  Volume 12

    Abstract: ... interpretations, and plots of positive and negative predictive values under a variety of scenarios. Prevalence ... Specifically, the proportion of positive serology tests that are false can differ drastically from up to 3%–88 ... sensitivity, and specificity are estimated within ranges of values from researchers and antibodies manufacturers. Illustrative ...

    Abstract Abstract Antibodies testing in the coronavirus era is frequently promoted, but the underlying statistics behind their validation has come under more scrutiny in recent weeks. We provide calculations, interpretations, and plots of positive and negative predictive values under a variety of scenarios. Prevalence, sensitivity, and specificity are estimated within ranges of values from researchers and antibodies manufacturers. Illustrative examples are highlighted, and interactive plots are provided in the Supplementary Information. Implications are discussed for society overall and across diverse locations with different levels of disease burden. Specifically, the proportion of positive serology tests that are false can differ drastically from up to 3%–88% for people from different places with different proportions of infected people in the populations while the false negative rate is typically under 10%.
    Keywords Medicine ; R ; Science ; Q
    Language English
    Publishing date 2021-03-01T00:00:00Z
    Publisher Nature Portfolio
    Document type Article ; Online
    Database BASE - Bielefeld Academic Search Engine (life sciences selection)

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