English

Modelling the deceleration of COVID-19 spreading

Populations and Evolution 2020-12-29 v2 Statistical Mechanics

Abstract

By characterising the time evolution of COVID-19 in term of its "velocity" (log of the new cases per day) and its rate of variation, or "acceleration", we show that in many countries there has been a deceleration even before lockdowns were issued. This feature, possibly due to the increase of social awareness, can be rationalised by a susceptible-hidden-infected-recovered (SHIR) model introduced by Barnes, in which a hidden (isolated from the virus) compartment HH is gradually populated by susceptible people, thus reducing the effectiveness of the virus spreading. By introducing a partial hiding mechanism, for instance due to the impossibility for a fraction of the population to enter the hidden state, we obtain a model that, although still sufficiently simple, faithfully reproduces the different deceleration trends observed in several major countries.

Keywords

Cite

@article{arxiv.2010.03416,
  title  = {Modelling the deceleration of COVID-19 spreading},
  author = {Giacomo Barzon and Karan Kabbur Hanumanthappa Manjunatha and Wolfgang Rugel and Enzo Orlandini and Marco Baiesi},
  journal= {arXiv preprint arXiv:2010.03416},
  year   = {2020}
}

Comments

v2: published version; more countries analysed

R2 v1 2026-06-23T19:07:51.893Z