Understanding COVID-19 Epidemics: A Multi-Scale Modeling Approach

COVID-19 was declared a pandemic by the World Health Organization in March 2020 and, since then, research on mathematical modeling became imperative and very influential to understand epidemiological dynamics of disease spreading control under different scenarios. In this chapter, two approaches model spread are presented. The frameworks described results presented connection with current situation vaccination roll-out. This chapter is structured as follows. Section 2 presents stochastic SHARUCD framework developed within task force created support public health managers during crisis. As an extension basic SHAR (Susceptible-Hospitalized-Asymptomatic-Recovered) model, models were parameterized validated empirical data for Basque Country, Spain, have been used (up until now) monitor over course pandemic. 3 introduces kinetic theory active particles (KTAP) disease. With exploratory analysis, we present possible way deal heterogeneity multiscale features. 4 concludes work, discussion both further perspectives description.