The MU Study of Seropositivity and Risk for SARS-CoV-2 and COVID-19: Crucial Behavioral and Immunological Data from Midwestern College Students

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Abstract

Objective

We describe our Fall 2020 study of college students’ COVID-19 related behaviors, attitudes, and antibody test results.

Participants

The study included 1,446 randomly selected and self-enrolled undergraduate and graduate students from a midwestern university.

Methods

An online survey was distributed to a sample of students, between September and December 2020. A sub-group also participated in a SARS-CoV-2 antibody blood draw.

Results

Nearly half of students reported a prior COVID-19 test with 22% indicating a positive test, which represents an 11% positivity rate across all student participants. Of those who participated in antibody testing, 15.1% tested positive for SARS-CoV-2 antibodies. Seventy-seven percent of participants said they would get vaccinated. One-third of students reported moderate to severe generalized anxiety disorder and 13% reported moderate to severe depression.

Conclusions

This study informed campus decisions in Fall 2020. The importance of effective public health messaging on campus should continue in the future.

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  1. SciScore for 10.1101/2022.01.24.22269758: (What is this?)

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

    Table 1: Rigor

    EthicsIRB: In mid-October, we also received MU Institutional Review Board (protocol#2028427) permission to allow individuals to self-enroll into the study.
    Sex as a biological variableAlso, 69.2% of participants identified as female, 28.6% as male, and 1.8% as outside of the gender binary.
    RandomizationThe study was originally by invitation only; the MU administration periodically provided stratified, randomly drawn lists of student and employee email addresses for 950 undergraduates, 250 graduate/professional students, and 400 faculty/staff.
    Blindingnot detected.
    Power Analysisnot detected.

    Table 2: Resources

    Software and Algorithms
    SentencesResources
    All blood and survey data were collected and stored in REDCap.
    REDCap
    suggested: (REDCap, RRID:SCR_003445)

    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: An explicit section about the limitations of the techniques employed in this study was not found. We encourage authors to address study limitations.

    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.

    Results from scite Reference Check: We found no unreliable references.


    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.