COVID-19 Epidemics as a Dynamical System: A Robust, Hypothesis-free Approach
DOI:
https://doi.org/10.13133/2532-5876/17269Abstract
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
Downloads
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
Section
Commentaries
License
Copyright Agreement with Authors
Before publication, after the acceptance of the manuscript, authors have to sign a Publication Agreement with Organisms. The authors retain all rights to the original work without any restrictions.
License for Published Contents
You are free to copy, distribute and transmit the work, and to adapt the work. You must attribute the work in the manner specified by the author or licensor (but not in any way that suggests that they endorse you or your use of the work).
