Interactions between seasonal human coronaviruses and implications for the SARS-CoV-2 pandemic: A retrospective study in Stockholm, Sweden, 2009-2020

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Abstract

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  1. SciScore for 10.1101/2020.10.01.20205096: (What is this?)

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

    Table 1: Rigor

    Institutional Review Board Statementnot detected.
    Randomizationnot detected.
    Blindingnot detected.
    Power Analysisnot detected.
    Sex as a biological variablenot detected.

    Table 2: Resources

    Software and Algorithms
    SentencesResources
    Statistical analyses: Statistical analyses were performed using Stata version 15.1 (StataCorp LLC, College Station (TX, USA)).
    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:
    Our study has some limitations. In particular, it is a retrospective study that utilizes results from routine clinical diagnostics. It is difficult to exclude that there have been changes in the strategies and prioritization for diagnostics of respiratory infections over the study period. For example, there have been some changes in the platforms used for virus diagnostics during the study period that may have modified the sensitivity of CoVs detection. Also, information about clinical presentation and disease severity were not available. However, all samples were from clinical diagnostics, which means that the symptoms were severe enough to prompt sampling. Another limitation is that more than half of the adults were tested only for IAV, IBV, and RSV, and not the full virus panel. It is likely that CoV infections have been underdiagnosed among the adults and the elderly because they were not tested for. The main strengths of the study are the large sample size and the long study period. To conclude, the notable yearly alternation within genera, and the temporal spacing in peaks between genera, suggest a possible immunological interaction or interference. We further identify a distinct difference in the timing of the seasonal peaks, with the Alphacoronaviruses peaking months after the Dec-Jan peak observed for the Betacoronaviruses. Our findings have implications both for better understanding seasonality and interaction in coronaviruses generally and for the likely future end...

    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. SciScore for 10.1101/2020.10.01.20205096: (What is this?)

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

    Table 1: Rigor

    Institutional Review Board Statementnot detected.Randomizationnot detected.Blindingnot detected.Power Analysisnot detected.Sex as a biological variablenot detected.

    Table 2: Resources

    Software and Algorithms
    SentencesResources
    (StataCorp LLC, College Station (TX, USA)).
    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:

    Our study has some limitations. In particular, it is a retrospective study that utilizes results from routine clinical diagnostics. It is difficult to exclude that there have been changes in the strategies and prioritization for diagnostics of respiratory infections over the study period. For example, there have been some changes in the platforms used for virus diagnostics during the study period. Also, information about clinical presentation and disease severity were not available. However, all samples were from clinical diagnostics, which means that the symptoms were severe enough to prompt sampling. Another limitation is that more than half of the adults were tested only for IAV, IBV, and RSV, and not the full virus panel. It is likely that CoV infections have been underdiagnosed among the adults and the elderly because they were not tested for. Furthermore, the generalisability of our findings beyond the Stockholm region are uncertain, although presence of similar patterns of alternating CoV incidence peaks in other parts of the temperate zone of the Northern Hemisphere provide support for this important observation. The main strengths of the study are the large sample size, the long study period, and the single center diagnostics. To conclude, the notable yearly alternation within genera, and the temporal spacing in peaks between genera, suggest a possible immunological interaction or interference. The seasonal CoVs showed biennial winter incidence peaks, with alternatin...


    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.


    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.