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Simulation and Model Validation for Mental Health Factors Using a Multi-Methodology Hybrid Approach
KTH, School of Engineering Sciences in Chemistry, Biotechnology and Health (CBH), Biomedical Engineering and Health Systems, Health Informatics and Logistics.
KTH, School of Engineering Sciences in Chemistry, Biotechnology and Health (CBH), Biomedical Engineering and Health Systems, Health Informatics and Logistics.ORCID iD: 0000-0002-3416-4535
KTH, School of Engineering Sciences in Chemistry, Biotechnology and Health (CBH), Biomedical Engineering and Health Systems, Health Informatics and Logistics.ORCID iD: 0000-0001-8218-4306
KTH, School of Engineering Sciences in Chemistry, Biotechnology and Health (CBH), Biomedical Engineering and Health Systems, Health Informatics and Logistics.ORCID iD: 0000-0003-1126-3781
2021 (English)In: Proceedings - Winter Simulation Conference, Institute of Electrical and Electronics Engineers Inc. , 2021Conference paper, Published paper (Refereed)
Abstract [en]

To promote policy analysis and decision-making in mental health and well-being, simulations are used to scrutinize causal maps and provide policymakers reasonable evidence. This paper proposes and illustrates a multi-methodology hybrid approach by building a hierarchy of models, moving from a systems dynamics model to a simulation based on PageRank to quantify and assess a complex mental health map. The motives are: (1) to aid scenario analysis and comparison for possible policy interventions, (2) to quantify and validate mental health factors, and (3) to gain new insights into the core and confounding factors that affect mental health. The results indicate that the approach identifies factors that cause significant and frequent variation on mental health. Furthermore, validation confirms PageRank accuracy and detects minor fluctuations and variation in model's output behavior.

Place, publisher, year, edition, pages
Institute of Electrical and Electronics Engineers Inc. , 2021.
Keywords [en]
Health, Causal Maps, Decisions makings, Health factors, Hybrid approach, Mental health, Page ranks, Policy analysis, Policy decisions, Simulation and model validations, Well being, Decision making
National Category
Applied Mechanics
Identifiers
URN: urn:nbn:se:kth:diva-316277DOI: 10.1109/WSC52266.2021.9715304Scopus ID: 2-s2.0-85126096689OAI: oai:DiVA.org:kth-316277DiVA, id: diva2:1687270
Conference
2021 Winter Simulation Conference, WSC 2021, 12 December 2021 through 15 December 2021
Note

Part of proceedings: ISBN 978-1-6654-3311-2

QC 20220815

Available from: 2022-08-15 Created: 2022-08-15 Last updated: 2023-01-17Bibliographically approved

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Boodaghian Asl, ArsinehRaghothama, JayanthDarwich, Adam S.Meijer, Sebastiaan

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