Seroreactivity to SARS-CoV-2 in individuals attending a university campus in Bogotá Colombia

  1. John M. Gonzalez
  2. Juan Carlos Santos-Barbosa
  3. Catherine Jaller
  4. German Otalora
  5. Luis J. Hernandez
  6. Marcela Guevara-Suarez
  7. Silvia Restrepo

Reviewed by

Read the full article See related articles

Discuss this preprint

Start a discussion What are Sciety discussions?

Listed in

Log in to save this article

Abstract

Most community-specific serological surveys for SARS-CoV-2 antibodies have been performed in healthcare workers and institutions. In this study, IgG antibodies specific to the virus were evaluated in individuals working at a university campus in Bogotá, Colombia. The aim of this work was to determine previous exposure to SARS-CoV-2 in those attending the campus during city lockdown. A total of 237 individuals, including 93 women and 144 men were evaluated using chemiluminescent detection of IgG anti N-viral protein between November and December 2020. There were 32 positives individuals corresponding to a seroprevalence of 13.5% (10 women and 22 men) and mostly asymptomatic (68.75%) and three cluster of seropositive individuals were identified. Only 13 of the seropositive individuals had previous positive detection of SARS-CoV-2 RNA by RT-qPCR performed in average 91 days before serological test. Seropositive individuals did not come from boroughs having higher percentages of SARS-CoV-2 cases in the city. This survey was carried out after the first peak of SARS-CoV-2 transmission in the city, and before the preparedness to reopening the campus for students in 2021, demonstrating a low seroprevalence in high percentage of asymptomatic. These results will help to evaluate some of the strategies stablished to control virus spread in the campus or other similar communities.

Article activity feed

  1. ScreenIT

    SciScore for 10.1101/2021.03.15.21253609: (What is this?)

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

    Table 1: Rigor

    Institutional Review Board StatementConsent: Protocol and informed consent were approved by Ethical Committee of Universidad de Los Andes (Act No 1192-2020).
    IACUC: Protocol and informed consent were approved by Ethical Committee of Universidad de Los Andes (Act No 1192-2020).
    Randomizationnot detected.
    Blindingnot detected.
    Power Analysisnot detected.
    Sex as a biological variablenot detected.

    Table 2: Resources

    Antibodies
    SentencesResources
    Anti-IgG SARS-CoV-2 antibody detection: The chemiluminescence Abbott IgG Architect SARS-CoV-2 Assay (Abbott, Abbott Park IL, USA) was used.
    Anti-IgG SARS-CoV-2
    suggested: None
    Software and Algorithms
    SentencesResources
    Anti-IgG SARS-CoV-2 antibody detection: The chemiluminescence Abbott IgG Architect SARS-CoV-2 Assay (Abbott, Abbott Park IL, USA) was used.
    Abbott
    suggested: (Abbott, RRID:SCR_010477)

    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:
    Also, mandatory university guidelines including daily symptoms check through cellphone App, handwashing, use of fascial mask, physical distance and gathering limitations have been implemented. Our data suggests that a very low percentage of the individuals has been infected, despite the fact of the use of public transportation and daily commuting between localities in the city with higher prevalence of infection. Seroprevalence studies could help better understand the dynamics of virus transmission in university population as a subgroup of the broader general community setting.

    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.

  2. Version published to 10.1101/2021.03.15.21253609 on medRxiv