title: [Ageing and Alzheimer disease - system dynamics model prediction].
abstract: The aim of the paper is to describe asystem dynamics model applied on aprediction of the number of patients with Alzheimers disease in the EU in the future and related financial impacts. Dementia resulting from Alzheimers disease is the most widely spread type of dementia and is highly connected with the age of the person - the patient. Most people are diagnosed with Alzheimers disease when they are older than 64. The ageing of population will be an ongoing problem in the next few decades due to alow birth rate and increasing life expectancy. This is areason to focus on prediction models of Alzheimers disease and its impact on economy. The paper presents adynamic modelling approach of system dynamics. The created model of the EU population and patients with AD is expanded by afinancial submodel at the end. This submodel estimates the cost on patients from three available cost studies.Key words: systém dynamic Alzhimers disease population ageing.
authors.forename: Hana
authors.initials: H
authors.lastname: Tomášková
authors.forename: Jitka
authors.initials: J
authors.lastname: Kühnová
authors.forename: Kamil
authors.initials: K
authors.lastname: Kuča
mesh_terms: D000375:Aging; D000544:Alzheimer Disease / Q000209:etiology*; D006801:Humans; D008017:Life Expectancy