COVID-19 Epidemics as a Dynamical System: A Robust, Hypothesis-free Approach

Authors

  • Alessandro Giuliani Istituto Superiore di Sanità, Roma (Italy)

DOI:

https://doi.org/10.13133/2532-5876/17269

Abstract

Commentary on: Bizzarri, M, Di Traglia, M, Giuliani, A, Vestri A, Fedeli V, & Prestininzi A. 2020, “New statistical RI index allows to better track the dynamics of COVID-19 outbreak in Italy”, Scientific Reports, vol. 10, no. 22365. Available from DOI:
https://doi.org/10.1038/s41598-020-79039-x

References

Mazzocchi, F 2020, “Tackling modern-day crises:

Why understanding multilevel interconnectivity is vital”, BioEssays, 2000294. Available from: doi: 10.1002/

bies.202000294

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Published

2021-02-10

How to Cite

Giuliani, A. (2021). COVID-19 Epidemics as a Dynamical System: A Robust, Hypothesis-free Approach. Organisms. Journal of Biological Sciences, 4(2), 15–16. https://doi.org/10.13133/2532-5876/17269

Issue

Vol. 4 No. 2 (2020)

Section

Commentaries

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