About this Book

The aim of this work is to examine, define and interpret dynamic effects on the spread of epidemics through the use of different models. This approach is heavily based on the consequent application of agent based models, which simulate the spread of a disease as a consequence of transmission from person to person, and Markov models, which are based on stochastic processes. Thanks to its structure, the former approach is able to create real effects, while the latter approach uses given transition probabilities, and hence is not able to produce feedback effects.

Comparison of the modeling approaches allows analyzing the underlying dynamics and finding sufficiently flexible definitions for correct interpretations and valid simulations of the consequences of vaccination strategies against epidemics.

About the Author

Florian Miksch has been working in the field of modeling and simulation with a focus on epidemic modeling forDWHSimulation Services. He studied Technical Mathematics with specialization in Mathematics in Computer Science at Vienna University of Technology. After his master studies, he conducted research in
the field of epidemic modeling together with DWH Simulation Services and the group forApplied Modeling and Simulation at Vienna University of Technology. His research aims to use models for understanding and defining disputed effects for more accurate predictions of vaccinations and other interventions against epidemics.