Estimated SARS-CoV-2 Seroprevalence in Healthy Children and Those with Chronic Illnesses in the Washington Metropolitan Area as of October 2020

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Abstract

The estimated severe acute respiratory syndrome coronavirus 2 seroprevalence in children was found to be 9.46% for the Washington Metropolitan area. Hispanic/Latinx individuals were found to have higher odds of seropositivity. While chronic medical conditions were not associated with having antibodies, previous fever and body aches were predictive symptoms.

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  1. SciScore for 10.1101/2021.01.30.21250830: (What is this?)

    Please note, not all rigor criteria are appropriate for all manuscripts.

    Table 1: Rigor

    Institutional Review Board StatementIRB: This study was reviewed and approved by both CNH and DC Health Institutional Review Boards.
    Randomizationnot detected.
    Blindingnot detected.
    Power Analysisnot detected.
    Sex as a biological variablenot detected.

    Table 2: Resources

    Antibodies
    SentencesResources
    The main outcome was the seroprevalence of anti-SARS-CoV-2 antibodies.
    anti-SARS-CoV-2
    suggested: None
    Seropositivity was qualitatively defined as the presence of anti-SARS-CoV-2 IgG antibodies ≥15 absorbance units per milliliter (AU/mL) according to manufacturer’s threshold.
    anti-SARS-CoV-2 IgG
    suggested: None

    Results from OddPub: We did not detect open data. We also did not detect open code. Researchers are encouraged to share open data when possible (see Nature blog).


    Results from LimitationRecognizer: We detected the following sentences addressing limitations in the study:
    The present work has some limitations. DC Health and CNH sites used similar, but not identical questionnaire instruments. Statistical models were not adjusted for correlated antibody results from the same household; however, this situation only counted for 10.4% (n=40) of the participants and most likely had a negligible effect on the seroprevalence estimation. Further, our sampling approach resulted in the inclusion of more chronically ill children than healthy children, which may introduce selection and reporting biases. Despite these limitations, the current analysis has several strengths. The pediatric sample achieved demonstrated great demographic diversity, and participants enrolled at CNH sites provided consent to be contacted in the future for repeated testing, enabling follow up studies to be carried out. Most notably, children with underlying medical illnesses have not been studied in this way, and as a result, we feel our findings offer important information as all children, whether living with chronic illness or not, must be considered for “back to school” transitions. Although we report a higher seroprevalence than other studies, our observed 9.46% seroprevalence rate remains well below the levels at which herd immunity has been estimated to occur11, however, per CDC’s reports, there is an increased seropositivity rate trend for most of the US states12. Future studies should focus on longitudinal seropositivity assessments among children to determine the impact o...

    Results from TrialIdentifier: No clinical trial numbers were referenced.


    Results from Barzooka: We did not find any issues relating to the usage of bar graphs.


    Results from JetFighter: We did not find any issues relating to colormaps.


    Results from rtransparent:
    • Thank you for including a conflict of interest statement. Authors are encouraged to include this statement when submitting to a journal.
    • Thank you for including a funding statement. Authors are encouraged to include this statement when submitting to a journal.
    • No protocol registration statement was detected.

    About SciScore

    SciScore is an automated tool that is designed to assist expert reviewers by finding and presenting formulaic information scattered throughout a paper in a standard, easy to digest format. SciScore checks for the presence and correctness of RRIDs (research resource identifiers), and for rigor criteria such as sex and investigator blinding. For details on the theoretical underpinning of rigor criteria and the tools shown here, including references cited, please follow this link.