Risk for COVID-19 Resurgence Related to Duration and Effectiveness of Physical Distancing in Ontario, Canada

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Abstract

No abstract available

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  1. SciScore for 10.1101/2020.04.29.20084475: (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

    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:
    A limitation of our model is that it was fit to mortality among hospitalized cases and the results presented here apply to community transmission. Ontario, as in many other jurisdictions, is experiencing outbreaks in long-term care homes (LTCH). 65% of confirmed COVID-19 deaths in the province to date have occurred outside of hospitals and there is a divergence between trends in hospitalizations and mortality that represents different pathways of care for individuals in LTCH (3, 4). Understanding and describing the dynamics of SARS-CoV-2 transmission in LTCH and other institutional settings is important for protecting the most vulnerable in our society and requires alternate modeling approaches and control measures. We show deterministic outputs for the epidemic projections with different levels of relaxation of physical distancing. Given variability in Ro, it is possible that local community transmission may be eliminated or time to resurgence will delayed. However, as long as SARS-CoV-2 is circulating globally, population susceptibility remains, and we have open borders, the risk of re-introduction and resurgence remains. Our results show the challenges that lie ahead as we move to the de-escalation phase of the first wave of the pandemic.

    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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