A Multilayer Network Model implementation for COVID-19

Fecha

2021

Tipo

artículo preliminar

Autores

Calvo Alpízar, Juan Gabriel
Sánchez Peña, Fabio Ariel
Barboza Chinchilla, Luis Alberto
García Puerta, Yury Elena
Vásquez Brenes, Paola Andrea

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Resumen

We present a numerical implementation for a multilayer network to model the transmission of Covid-19 or other diseases with a similar transmission mechanism. The model incorporates different contact types between individuals (household, social and sporadic networks) and includes an SEIR-type model for the transmission of the virus. The algorithm described in this paper includes the main ideas of the model used to give public health authorities an additional tool for the decision-making process in Costa Rica by simulating extensive possible scenarios and projections. We include two simulations: a study of the effect of restrictions on the transmission of the virus and a Costa Rica case study that was shared with the Costa Rican health authorities.

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Palabras clave

Multilayer network, Epidemic models, CORONAVIRUS, EPIDEMIC, COVID-19

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