Green spaces, especially nearby forest, may reduce the SARS-CoV-2 infection rate: A nationwide study in the United States

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Abstract

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  1. SciScore for 10.1101/2021.08.04.21261420: (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:
    Finally, we discussed the limitations of this study and considered opportunities for future research. 4.1. How might green spaces reduce SARS-CoV-2 infection rates?: Before discussing potential mechanisms for reduced infection rates, it is important to note that the primary pathway of SARS-CoV-2 transmission is via aerosol particles (Klompas et al., 2020; Zhang, Li, Zhang, Wang, & Molina, 2020). Thus, people are primarily infected with SARS- CoV-2 by inhaling virus-containing droplets and aerosols exhaled by a human host (Bourouiba, 2020). Thus, compared to being indoors, being outdoors can reduce the risk of transmitting SARS- CoV-2 in two ways. First, outdoor environments often provide much stronger natural air movement, significantly reducing virus concentrations compared to indoor settings. In fact, a recent review suggested that the majority of SARS-CoV-2 infection clusters occurred in indoor settings (Leclerc et al., 2020). Second, outdoor environments, including large areas of green space, can support safer physical distancing, which reduces infection risks (Leclerc et al., 2020). We found that, in general, green spaces were significantly inversely associated with SARS-CoV- 2 infection rates, even after controlling for confounding factors. Although regression models can only reveal associations, rather than causal relationships, we propose five mechanisms by which these effects could be explained. 4.1.1. Mechanisms underlying reduced infection rates: (1) Encouraging ou...

    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

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