A Multilayer Network Model implementation for Covid-19
Physics and Society
2021-03-17 v1 Numerical Analysis
Numerical Analysis
Populations and Evolution
Abstract
We present a numerical implementation for a multilayer network used 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 contacts, and strangers), which allows flexibility compared to standard SIR type models. The algorithm described in this paper is a simplification 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.
Cite
@article{arxiv.2103.08843,
title = {A Multilayer Network Model implementation for Covid-19},
author = {Juan G. Calvo and Fabio Sanchez and Luis A. Barboza and Yury E. García and Paola Vásquez},
journal= {arXiv preprint arXiv:2103.08843},
year = {2021}
}
Comments
12 pages, 6 figures