A Multilayer Network Model implementation for COVID-19

 

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Dades bibliogràfiques
Autors: Calvo Alpízar, Juan Gabriel, Sánchez Peña, Fabio Ariel, Barboza Chinchilla, Luis Alberto, García Puerta, Yury Elena, Vásquez Brenes, Paola Andrea
Format: artículo preliminar
Data de publicació:2021
Descripció: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.
Pais:Kérwá
Institution:Universidad de Costa Rica
Repositorio:Kérwá
Idioma:Inglés
OAI Identifier:oai:kerwa.ucr.ac.cr:10669/87315
Accés en línia:https://arxiv.org/abs/2103.08843
https://hdl.handle.net/10669/87315
Paraula clau:Multilayer network
Epidemic models
CORONAVIRUS
EPIDEMIC
COVID-19