County-Level Factors That Influenced the Trajectory of COVID-19 Incidence in the New York City Area

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Abstract

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  1. SciScore for 10.1101/2020.05.05.20092254: (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

    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:
    This study, however, is not without limitations. As this devastating pandemic continues to unfold in this epicenter of the outbreak in the United States, we assume that the number of Covid-19 confirmed cases will likely shift in response to improved testing and reporting practices, and thus, over time, enable the emergence of more accurate and useful data. Still, we use the latest data available to us [8]. Similarly, our sample is drawn from the New York metropolitan region, reducing the generalizability of our findings to a particular portion of people in the City of New York and surrounding areas, through May 3, 2020. Furthermore, in order to reduce virus transmission and keep case-fatality rates as low as possible, the New York State government instituted a number of mitigation efforts aside from school closures, including social distancing, school and workplace closures, cancellation of large-scale public gatherings, and stay-at-home orders [24]. In the present analysis, we use school closure dates to account for variation in time of enactment of physical distancing measures across counties. Thus, our inclusion of one variable is by no means comprehensive. However, if school closures were the only measure enacted, intervention effectiveness would be substantially reduced and variation in Covid-19 incidence across counties would be magnified [20-21]. Similarly, although we are unable to confirm whether individuals who tested positive for SARS-CoV-2 reside in the area where...

    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.

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