Effects of temperature variation and humidity on the death of COVID-19 in Wuhan, China

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Abstract

No abstract available

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  1. SciScore for 10.1101/2020.03.15.20036426: (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:
    However, many limitations should not be ignored. Firstly, there are some other factors may affect the COVID-19 mortality, such as population migration, government intervention and so on. Secondly, ecologic time-series study design was adopted in the study, which might exist ecologic fallacy. Furthermore, it is difficult to obtain the meteorological and air pollution data at the individual level. Nevertheless, this study showed that DTR might be associated with the death risk of COVID-19 in Wuhan, which deserves further investigation.

    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.