Modelo SEAIR con percepción de riesgo para la CoVid19. Caso Cuba

Authors

Abstract

En este trabajo se propone una variante de modelo poblacional SEIR aplicado a la Epidemiología,
distinguiendo entre las poblaciones de infectados sintomáticos y asintomáticos, para representar la dinámica de transmisión de la CoVid19, con funciones que simulan las acciones gubernamentales e individuales ante la percepción de riesgo. Se obtuvieron expresiones para el número reproductivo básico y la tasa de contagio,
variables en el tiempo, lo que permitió simular diferentes escenarios y presentar predicciones, que deben ayudar
a la acción de control de dicha pandemia, según datos en Cuba.

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Author Biographies

Aymée Marrero Severo, National Council of Scientific Health Societies

Profesora de la Universidad de La Habana

Daniel Menció Padrón, Departamento de Matemática, Universidad de la Habana

Profesor de la Universidad de La Habana

Gabriela Bayolo Soler, Departamento de Matemática, Universidad de la Habana

Profesora de la Universidad de La Habana

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Published

2020-12-06

How to Cite

1.
Marrero Severo A, Menció Padrón D, Bayolo Soler G. Modelo SEAIR con percepción de riesgo para la CoVid19. Caso Cuba. INFODIR [Internet]. 2020 Dec. 6 [cited 2025 Oct. 3];. Available from: https://revinfodir.sld.cu/index.php/infodir/article/view/1031

Issue

Ciencias Matemáticas

Section

Ciencias Matemáticas 1

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