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



Título del documento: Time-dependent SI model for epidemiology and applications to Covid-19
Revista: Revista mexicana de física
Base de datos: PERIÓDICA
Número de sistema: 000447310
ISSN: 0035-001X
Autors: 1
1
Institucions: 1Universidad de Guanajuato, Departamento de Física, León, Guanajuato. México
Any:
Període: Sep-Oct
Volum: 67
Número: 5
País: México
Idioma: Inglés
Tipo de documento: Artículo
Enfoque: Analítico, teórico
Resumen en inglés 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
Paraules clau: Física,
Modelos epidemiológicos,
Estadística bayesiana,
COVID-19
Keyword: Physics,
COVID-19,
Epidemiological models,
Bayesian statistics
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