SARS-CoV-2 emerging complexity

  1. Francesca Bertacchini
  2. Eleonora Bilotta
  3. Pietro Salvatore Pantano

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Abstract

The novel SARS_CoV-2 virus, prone to variation when interacting with spatially extended ecosystems and within hosts 1 can be considered a complex dynamic system 2 . Therefore, it behaves creating several space-time manifestations of its dynamics. However, these physical manifestations in nature have not yet been fully disclosed or understood. Here we show 4-3 and 2-D space-time patterns of rate of infected individuals on a global scale, giving quantitative measures of transitions between different dynamical behaviour. By slicing the spatio-temporal patterns, we found manifestations of the virus behaviour such as cluster formation and bifurcations. Furthermore, by analysing the morphogenesis processes by entropy, we have been able to detect the virus phase transitions, typical of adaptive biological systems 3 . Our results for the first time describe the virus patterning behaviour processes all over the world, giving for them quantitative measures. We know that the outcomes of this work are still partial and more advanced analyses of the virus behaviour in nature are necessary. However, we think that the set of methods implemented can provide significant advantages to better analyse the viral behaviour in the approach of system biology 4 , thus expanding knowledge and improving pandemic problem solving.

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    SciScore for 10.1101/2021.01.27.428384: (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

    Software and Algorithms
    SentencesResources
    The Morphological Components function in Mathematica allows detecting the main structures in these slices.
    Mathematica
    suggested: (Wolfram Mathematica, RRID:SCR_014448)

    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).

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    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:
    • No conflict of interest statement was detected. If there are no conflicts, we encourage authors to explicit state so.
    • No funding statement was detected.
    • No protocol registration statement was detected.

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  2. Version published to 10.1101/2021.01.27.428384v1 on bioRxiv