arXiv Open Access 2020

Modelling the deceleration of COVID-19 spreading

Giacomo Barzon Karan Kabbur Hanumanthappa Manjunatha Wolfgang Rugel Enzo Orlandini Marco Baiesi
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Abstrak

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 $H$ 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.

Penulis (5)

G

Giacomo Barzon

K

Karan Kabbur Hanumanthappa Manjunatha

W

Wolfgang Rugel

E

Enzo Orlandini

M

Marco Baiesi

Format Sitasi

Barzon, G., Manjunatha, K.K.H., Rugel, W., Orlandini, E., Baiesi, M. (2020). Modelling the deceleration of COVID-19 spreading. https://arxiv.org/abs/2010.03416

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Tahun Terbit
2020
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en
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arXiv
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