Modelling the deceleration of COVID-19 spreading

Author:

Barzon Giacomo,Kabbur Hanumanthappa Manjunatha Karan,Rugel Wolfgang,Orlandini EnzoORCID,Baiesi MarcoORCID

Abstract

Abstract By characterizing 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 rationalized by a susceptible-hidden-infected-recovered model introduced by Barnes, in which a hidden (isolated from the virus) compartment H 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.

Publisher

IOP Publishing

Subject

General Physics and Astronomy,Mathematical Physics,Modeling and Simulation,Statistics and Probability,Statistical and Nonlinear Physics

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