Moving From COVID-19 Mathematical Models to Vaccine Design: Theory, Practice and Experiences

An Approach to COVID-19: Current Results, Perspectives and its Study with Mathematical and Computational Modeling Tools

Author(s): Andres Fraguela-Collar*, Moises Soto-Bajo and Raul Felipe Sosa

Pp: 1-108 (108)

DOI: 10.2174/9789815051902122010007

* (Excluding Mailing and Handling)


This chapter presents the COVID-19 pandemic as a complex problem, which has resulted in multidisciplinary and interdisciplinary research of unprecedented magnitude at the international level. In particular, the important role that mathematical and computational modeling has played throughout the different phases of the evolution of the pandemic is analyzed. Some of the most notorious achievements and difficulties in obtaining results with the use of mathematical models and computational simulations are discussed, and some proposals are presented about relevant and still pending tasks.

Keywords: COVID-19, epidemiological model, sensitivity analysis, bifurcations, parameter identification, controllability, stabilization.

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