Title: Modeling Covid-19 in Costa Rica: A Multilayer Network Approach
Summary: During the 2020 Covid-19 pandemic in Costa Rica, different groups developed modelling techniques to understand the transmission dynamics of the disease. The modelling team, EpiMEC, developed deterministic models early in the pandemic to provide insight into the early disease dynamics. During the same period, the team developed a multilayer network model that allowed for more flexibility and included preventive measures and interventions from health authorities in the country. The model provided information for decision-makers in the country during the pandemic in Costa Rica.

SHORT BIO
Fabio Sánchez has a Ph.D. in Biological Mathematics from Cornell University in New York. Currently, he works as a teacher and researcher at the School of Mathematics-CIMPA, University of Costa Rica. His research interests lie in the modelling of infectious diseases, with a greater emphasis on those that are transmitted by vectors such as: dengue, chikungunya and Zika. To model this dynamics, nonlinear differential equation systems are used. These predictive models are used to study the spread of this type of diseases in a population. In addition, with these models, prevention and/or control strategies can be developed for public health officials.
FABIO.SANCHEZ@ucr.ac.cr