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Dynamics of COVID-19 pandemic at constant and time-dependent contact rates
We constructed a simple Susceptible−Exposed–Infectious–Removed model of the spread of COVID-19. The model is parametrised only by the average incubation period, τ , and two rate parameters: contact rate, β , and exclusion rate, γ . The rates depend on nontherapeutic interventions and determine the b...
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Published in: | Mathematical modelling of natural phenomena 2020, Vol.15, p.28 |
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Main Authors: | , , |
Format: | Article |
Language: | English |
Subjects: | |
Citations: | Items that this one cites Items that cite this one |
Online Access: | Get full text |
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Summary: | We constructed a simple Susceptible−Exposed–Infectious–Removed model of the spread of COVID-19. The model is parametrised only by the average incubation period,
τ
, and two rate parameters: contact rate,
β
, and exclusion rate,
γ
. The rates depend on nontherapeutic interventions and determine the basic reproduction number,
R
0
=
β
/
γ
, and, together with
τ
, the daily multiplication coefficient in the early exponential phase,
θ
. Initial
R
0
determines the reduction of
β
required to contain the spread of the epidemic. We demonstrate that introduction of a cascade of multiple exposed states enables the model to reproduce the distributions of the incubation period and the serial interval reported by epidemiologists. Using the model, we consider a hypothetical scenario in which
β
is modulated solely by anticipated changes of social behaviours: first,
β
decreases in response to a surge of daily new cases, pressuring people to self-isolate, and then, over longer time scale,
β
increases as people gradually accept the risk. In this scenario, initial abrupt epidemic spread is followed by a plateau and slow regression, which, although economically and socially devastating, grants time to develop and deploy vaccine or at least limit daily cases to a manageable number. |
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ISSN: | 0973-5348 1760-6101 |
DOI: | 10.1051/mmnp/2020011 |