Epidemic Curve of Contamination in a Hospital That Served as Sentinel of the Spread of the SARS-Cov-2 Epidemic in the City of Rio de Janeiro

  1. Marisa Santos
  2. Tereza Cristina Felippe Guimarães
  3. Helena Cramer
  4. Fabiana Mucillo
  5. Izabella Pereira da Silva Bezerra
  6. Raiana Andrade Quintanilha Barbosa
  7. Tais Hanae Kasai Brunswick
  8. Adriana Bastos Carvalho
  9. Glauber Monteiro Dias
  10. Aurora Issa
  11. Adriana Bastos Carvalho
  12. Antonio Carlos Campos de Carvalho

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Abstract

The COVID-19 pandemic had a profound impact on the operation of Brazilian hospital units, even those dedicated to non-infectious diseases. This study aims to describe the Covid-19 epidemic curve from a cardiovascular specialized nosocomial unit. All symptomatic employees were submitted to RT-qPCR. A total of 613 tests were performed on 548 employees between March 23, 2020, and June 4, 2020; with 45.7% positivity from the samples, representing 11.9% of the total employees. The epidemic curve showed a profound drop after first week of May. The data showed a high contamination rate despite widespread availability of personal protective equipment and employees’ training.

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  1. ScreenIT

    SciScore for 10.1101/2020.10.19.20215079: (What is this?)

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

    Table 1: Rigor

    Institutional Review Board StatementIRB: The study was approved by the Research Ethics Committee of the National Institute of Cardiology under number 3234232.,9.0000.5272.
    Randomizationnot detected.
    Blindingnot detected.
    Power Analysisnot detected.
    Sex as a biological variablenot detected.

    Table 2: Resources

    Experimental Models: Organisms/Strains
    SentencesResources
    The tests were considered positive when there was amplification of N1, N2 and RP with a cycle threshold (Ct) below 40.
    N2
    suggested: None
    Software and Algorithms
    SentencesResources
    The software Stata version 15 (StataCorp, 2017) and the STAMP module of the software OxMetrics version 8 (Jurgen A. Doornik, 2018) were used.
    StataCorp
    suggested: (Stata, RRID:SCR_012763)

    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:
    An important limitation of this study is the lack of screening of asymptomatic individuals. Some publications estimate that between 4 (10) and 78% (11) of those infected may be asymptomatic. Another limitation is the bias created by the selection of employees as the target population when compared to the general population. The employees were regularly employed people with at least an elementary education who continued to work during the quarantine and who had differentiated access to information.

    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 10.1101/2020.10.19.20215079v1 on medRxiv