Impact of delays on effectiveness of contact tracing strategies for COVID-19: a modelling study

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Abstract

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  1. SciScore for 10.1101/2020.05.09.20096289: (What is this?)

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

    Table 1: Rigor

    NIH rigor criteria are not applicable to paper type.

    Table 2: Resources

    Software and Algorithms
    SentencesResources
    The model was coded in Mathematica 12.1.
    Mathematica
    suggested: (Wolfram Mathematica, RRID:SCR_014448)

    Results from OddPub: Thank you for sharing your code and data.


    Results from LimitationRecognizer: We detected the following sentences addressing limitations in the study:
    A limitation of our approach is that it does not take population age-structure into account, which may influence the proportion of asymptomatic cases and mobile app use coverage. Also, the willingness of a case to self-isolate depends on age and social norms, may depend on socio-economic status, and is affected by perceived benefit of isolation in relation to perceived risk of the infection to others25. We also excluded other heterogeneities while assuming homogeneous mixing26,27, and assumed homogeneously distributed use of app technology for different coverage levels. Clustering of non-users may have consequences for overall effectiveness of CTS, similar to clustering of non-vaccinated persons. Furthermore, we ignored that a sizeable portion of transmissions may be acquired nosocomially when population prevalence is still low. 28 The model also ignores that some contacts of the index case may have self-quarantined with symptoms before they are traced by CTS, which lowers the benefits of CTS. Our results add to results from other modelling studies, which showed that CTS can be an effective intervention if tracing coverage is high and if the process is fast2,15. A determining factor is the proportion of transmissions occurring before symptom onset, which determines the urgency of tracing and isolating contacts as fast as possible. Our study showed in detail what the role is of each step in the CTS process in making it successful. Our model differs in that it makes a distincti...

    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

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