An implementation of a multilayer network model for the Covid-19 pandemic: A Costa Rica study

Juan G. Calvo; Fabio Sanchez; Luis A. Barboza; Yury E. García; Paola Vásquez; Juan G. Calvo; Fabio Sanchez; Luis A. Barboza; Yury E. García; Paola Vásquez

doi:10.3934/mbe.2023024

Mathematical Biosciences and Engineering

2023, Volume 20, Issue 1: 534-551. doi: 10.3934/mbe.2023024

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An implementation of a multilayer network model for the Covid-19 pandemic: A Costa Rica study

1.
Centro de Investigación en Matemática Pura y Aplicada - Escuela de Matemática, San José, Costa Rica
2.
Centro de Investigación en Matemática Pura y Aplicada, San José, Costa Rica
3.
Department of Public Health Sciences, University of California Davis, CA 95616, USA

Received: 27 June 2022 Revised: 25 August 2022 Accepted: 30 August 2022 Published: 12 October 2022

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.
- multilayer network,
- Covid-19,
- epidemic models,
- pandemic
Citation: Juan G. Calvo, Fabio Sanchez, Luis A. Barboza, Yury E. García, Paola Vásquez. An implementation of a multilayer network model for the Covid-19 pandemic: A Costa Rica study[J]. Mathematical Biosciences and Engineering, 2023, 20(1): 534-551. doi: 10.3934/mbe.2023024

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Abstract

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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