Background: Alzheimer’s disease is one of the most common mental illnesses. It is posited
that more than 25% of the population is affected by some mental disease during their lifetime. Treatment
of each patient draws resources from the economy concerned. Therefore, it is important to quantify
the potential economic impact.
Methods: Agent-based, system dynamics and numerical approaches to dynamic modeling of the population
of the European Union and its patients with Alzheimer’s disease are presented in this article.
Simulations, their characteristics, and the results from different modeling tools are compared.
Results: The results of these approaches are compared with EU population growth predictions from the
statistical office of the EU by Eurostat. The methodology of a creation of the models is described and
all three modeling approaches are compared. The suitability of each modeling approach for the population
modeling is discussed.
Conclusion: In this case study, all three approaches gave us the results corresponding with the EU
population prediction. Moreover, we were able to predict the number of patients with AD and, based on
the modeling method, we were also able to monitor different characteristics of the population.