Phase transitions may explain why SARS-CoV-2 spreads so fast and why new variants are spreading faster

  1. J.C. Phillips
  2. Marcelo A. Moret
  3. Gilney F. Zebende
  4. Carson C. Chow

Reviewed by

Read the full article See related articles

Listed in

Log in to save this article

Abstract

No abstract available

Article activity feed

  1. Version published to 10.1016/j.physa.2022.127318
  2. Rapid Reviews Infectious Diseases

    Qian-Yuan Tang

    Review 3: "Phase transitions may explain why SARS-CoV-2 spreads so fast and why new variants are spreading faster"

    This preprint claims phase transitions explain SARS-CoV-2's heightened transmissability. Reviewers found the presented claims unreliable.

  3. Rapid Reviews Infectious Diseases

    Sankar Basu

    Review 2: "Phase transitions may explain why SARS-CoV-2 spreads so fast and why new variants are spreading faster"

    This preprint claims phase transitions explain SARS-CoV-2's heightened transmissability. Reviewers found the presented claims unreliable.

  4. Rapid Reviews Infectious Diseases

    Lee Makowski

    Review 1: "Phase transitions may explain why SARS-CoV-2 spreads so fast and why new variants are spreading faster"

    This preprint claims phase transitions explain SARS-CoV-2's heightened transmissability. Reviewers found the presented claims unreliable.

  6. ScreenIT

    SciScore for 10.1101/2021.02.16.431437: (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: An explicit section about the limitations of the techniques employed in this study was not found. We encourage authors to address study limitations.

    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.
    • No funding statement was detected.
    • 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.

  7. Version published to 10.1101/2021.02.16.431437v1 on bioRxiv