Numeric, Agent-based or System Dynamics Model? Which Modeling Approach is the Best for Vast Population Simulation?

Kód výsledku v IS VaVaI

<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F62690094%3A18470%2F18%3A50014453" target="_blank" >RIV/62690094:18470/18:50014453 - isvavai.cz</a>

Výsledek na webu

<a href="http://dx.doi.org/10.2174/1567205015666180202094551" target="_blank" >http://dx.doi.org/10.2174/1567205015666180202094551</a>

DOI - Digital Object Identifier

<a href="http://dx.doi.org/10.2174/1567205015666180202094551" target="_blank" >10.2174/1567205015666180202094551</a>

Jazyk výsledku

angličtina

Název v původním jazyce

Numeric, Agent-based or System Dynamics Model? Which Modeling Approach is the Best for Vast Population Simulation?

Popis výsledku v původním jazyce

Background: Alzheimer&apos;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&apos;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.

Název v anglickém jazyce

Numeric, Agent-based or System Dynamics Model? Which Modeling Approach is the Best for Vast Population Simulation?

Popis výsledku anglicky

Background: Alzheimer&apos;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&apos;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.

Druh

J_imp - Článek v periodiku v databázi Web of Science

CEP obor

—

OECD FORD obor

10201 - Computer sciences, information science, bioinformathics (hardware development to be 2.2, social aspect to be 5.8)

Projekt

—

Návaznosti

I - Institucionalni podpora na dlouhodoby koncepcni rozvoj vyzkumne organizace

Rok uplatnění

2018

Kód důvěrnosti údajů

S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Název periodika

Current Alzheimer research

ISSN

1567-2050

e-ISSN

—

Svazek periodika

15

Číslo periodika v rámci svazku

8

Stát vydavatele periodika

AE - Spojené arabské emiráty

Počet stran výsledku

9

Strana od-do

789-797

Kód UT WoS článku

000435096600009

EID výsledku v databázi Scopus

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