Assessing the potential impact of immunity waning on the dynamics of COVID-19 in South Africa: an endemic model of COVID-19

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Abstract

No abstract available

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  1. SciScore for 10.1101/2021.10.23.21265421: (What is this?)

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

    Table 1: Rigor

    Ethicsnot detected.
    Sex as a biological variablenot detected.
    Randomizationnot detected.
    Blindingnot detected.
    Power Analysisnot detected.

    Table 2: Resources

    No key resources detected.


    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:
    Some limitations of the modeling framework presented in this paper includes modeling vaccination as a single dose despite the fact that majority of the COVID-19 vaccines available today require more than one does to get a good level of protection. In addition, our model assumes that vaccine efficacy is the same, either one is getting the vaccine for the first time or one had already experienced waning of immunity. This may not be the case in reality as getting the vaccine the second time may lead to a better/stronger protection. Also the efficacy of the vaccines for different variants of COVID-19 may be different. Another limitation of our model is assuming that the population is well-mixed. This may not be so in reality as contact rates and mixing patterns may vary between individuals depending on their age and activity level. We would also like to include lack of stochasticity as a limitation to our modeling framework. Despite all these limitations, we believe that our modeling framework has provided some insights into the endemic dynamics of COVID-19 and has also provided some reasonable suggestions on the important parameters to be considered to effective eradicate the disease.

    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.