2021/03/16 by Juan G. Calvo, Calvo, Juan G., Fabio Sánchez +7
Mathematics · Medicine · Physics and Astronomy · #92C60 #93A16 #COVID-19 epidemiological studies #Complex Network Analysis Techniques #FOS: Biological sciences #FOS: Mathematics #FOS: Physical sciences #Numerical Analysis (math.NA) #Physics and Society (physics.soc-ph) #Populations and Evolution (q-bio.PE) #Viral Infections and Outbreaks Research
paper · pdf · doi:10.48550/arxiv.2103.08843
openalex publication_date 2021/03/16 · openalex created_date 2025/10/10 · openalex updated_date 2026/07/28
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.