OPTIMIZING COVID-19 VACCINE USAGE

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Abstract

As the worldwide vaccination, it is imperative to minimize vaccine wastage by effectively using all doses available. Vaccine wastage can occur at multiple points during the vaccination process, but it is mainly because the device dead space and the filling process technique. However, there are no studies discussing the waste volume effect of COVID-19 vaccines in clinical practice. There is an increasing COVID-19 vaccine demand that we estimate up to several billion dual doses. The objective of this study was to assess the number of 0.3mL doses obtained from a multiple-dose vial using 1ml and 3ml syringes with different type of needles replicating the first COVID-19 vaccination protocol.

Our results suggest that it is possible to obtain six or seven doses from each vial instead five. We provide evidence to optimize between 20% and 40% additional vaccine doses per vial if the current 5-dose vials are used, making scarce supplies go further.

It is our duty, as researchers, to ensure the efficacy and efficiency of the worldwide COVID-19 vaccination process. However, if standard syringes-needles and technique are used, there may not be sufficient volume to draw extra doses from a single vial.

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  1. SciScore for 10.1101/2021.01.04.21249167: (What is this?)

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

    Table 1: Rigor

    Institutional Review Board StatementIRB: This study did not include human subject research, then, institutional review board authorization was not necessary 16.
    Randomizationnot detected.
    Blindingnot detected.
    Power Analysisnot detected.
    Sex as a biological variablenot detected.

    Table 2: Resources

    Software and Algorithms
    SentencesResources
    We used GraphPad Prism 9 for Windows to perform statistical analysis.
    GraphPad
    suggested: (GraphPad Prism, RRID:SCR_002798)
    Graphical representation were created with BioRender.com.
    BioRender
    suggested: (Biorender, RRID:SCR_018361)

    Results from OddPub: Thank you for sharing your data.


    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.

    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.