Effects of temperature and humidity on the spread of COVID-19: A systematic review

  1. Paulo Mecenas
  2. Renata Travassos da Rosa Moreira Bastos
  3. Antonio Carlos Rosário Vallinoto
  4. David Normando

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Abstract

No abstract available

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  1. Version published to 10.1371/journal.pone.0238339
  2. ScreenIT

    SciScore for 10.1101/2020.04.14.20064923: (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

    Software and Algorithms
    SentencesResources
    Information sources: The following electronic databases were searched: PubMed, Scopus, Web of Science, Cochrane Library, LILACS, OpenGrey and Google Scholar.
    PubMed
    suggested: (PubMed, RRID:SCR_004846)
    Cochrane Library
    suggested: (Cochrane Library, RRID:SCR_013000)
    The search was conducted up to March 24th, 2020 in all databases, and until 31st March, 2020 only in Google Scholar. 1.4.
    Google Scholar
    suggested: (Google Scholar, RRID:SCR_008878)
    The citations were saved in a reference manager (EndNote, x9 version, Clarivate Analytics, Philadelphia, PA, USA).
    EndNote
    suggested: (EndNote, RRID:SCR_014001)

    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:
    Regarding the classification of the articles and their score evaluated by the JBI Critical Appraisal Checklist tool,[18] thirteen studies were classified as moderate risk of bias,[20,21,23-26,28-31,33-35] and four as high risk of bias.[9,22,27,32] This was due, among other factors, to limitations in the sample selection criteria, once the main items “the criteria for inclusion in the sample” and “the study subjects and the setting described” received a negative rating in all selected articles. A reasonable explanation for this fact would be that due to the urgency of the world situation with the rapid spread of COVID-19 worldwide and the need to search for immediate responses to contain the pandemic, secondary data available was used at the moment that the studies were realized, both in relation to the epidemiology of the new coronavirus, and to the climatic conditions, in an attempt to verify a possible association between them. Because of this, there was a limitation in the sample selection criteria and the confounding factors that could interfere with the analysis of these secondary data were not controlled by the eligibility criteria. The quality of evidence of clinical outcomes was also graded using the GRADE tool. The evidence was scored as low because of the study designs, classified as observational cross-sectional studies, due to the effect of other confounding variables on temperature and humidity in the spread of the virus, and because one selected article did not ...

    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.

  3. Version published to 10.1101/2020.04.14.20064923v1 on medRxiv