Time-dependent SI model for epidemiology and applications to Covid-19



Document title: Time-dependent SI model for epidemiology and applications to Covid-19
Journal: Revista mexicana de física
Database: PERIÓDICA
System number: 000447310
ISSN: 0035-001X
Authors: 1
1
Institutions: 1Universidad de Guanajuato, Departamento de Física, León, Guanajuato. México
Year:
Season: Sep-Oct
Volumen: 67
Number: 5
Country: México
Language: Inglés
Document type: Artículo
Approach: Analítico, teórico
English abstract A generalization of the Susceptible-Infectious model is made to include a time-dependent transmission rate, which leads to a close analytical expression in terms of a logistic function. The solution can be applied to any continuous function chosen to describe the evolution of the transmission rate with time. Taking inspiration from real data of the Covid-19, for the case of cumulative confirmed positives and deaths, we propose an exponentially decaying transmission rate with two free parameters, one for its initial amplitude and another one for its decaying rate. The resultant time-dependent SI model, which under extra conditions recovers the standard Gompertz functional form, is then compared with data from selected countries and its parameters fit using Bayesian inference. We make predictions about the asymptotic number of confirmed positives and deaths and discuss the possible evolution of the disease in each country in terms of our parametrization of the transmission rate
Disciplines: Física y astronomía
Keyword: Física,
Modelos epidemiológicos,
Estadística bayesiana,
COVID-19
Keyword: Physics,
COVID-19,
Epidemiological models,
Bayesian statistics
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