Modelling the deceleration of COVID-19 spreading
arXiv:2010.03416 · doi:10.1088/1751-8121/abd59e
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 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.
arXiv commentv2: published version; more countries analysed
References in corpus (6)
- Analysis and forecast of COVID-19 spreading in China, Italy and France
- Effective containment explains sub-exponential growth in confirmed cases of recent COVID-19 outbreak in Mainland China
- Predictability: Can the turning point and end of an expanding epidemic be precisely forecast?
- Why are most COVID-19 infection curves linear?
- A simple SIR model with a large set of asymptomatic infectives
- Solvable delay model for epidemic spreading: the case of Covid-19 in Italy