Adaptive SIR model with vaccination: simultaneous identification of rates and functions illustrated with COVID-19.
Sci Rep
; 12(1): 15688, 2022 09 20.
Artículo
en Inglés
| MEDLINE | ID: covidwho-2036895
ABSTRACT
An Adaptive Susceptible-Infected-Removed-Vaccinated (A-SIRV) epidemic model with time-dependent transmission and removal rates is constructed for investigating the dynamics of an epidemic disease such as the COVID-19 pandemic. Real data of COVID-19 spread is used for the simultaneous identification of the unknown time-dependent rates and functions participating in the A-SIRV system. The inverse problem is formulated and solved numerically using the Method of Variational Imbedding, which reduces the inverse problem to a problem for minimizing a properly constructed functional for obtaining the sought values. To illustrate and validate the proposed solution approach, the present study used available public data for several countries with diverse population and vaccination dynamics-the World, Israel, The United States of America, and Japan.
Texto completo:
Disponible
Colección:
Bases de datos internacionales
Base de datos:
MEDLINE
Asunto principal:
COVID-19
Tipo de estudio:
Estudio observacional
/
Estudio pronóstico
Tópicos:
Vacunas
Límite:
Humanos
Idioma:
Inglés
Revista:
Sci Rep
Año:
2022
Tipo del documento:
Artículo
País de afiliación:
S41598-022-20276-7
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