Comparative Validation of Simulation Models for the COVID-19 CrisisVisa övriga samt affilieringar
2021 (Engelska)Ingår i: Social Simulation for a Crisis / [ed] Dignum, Frank, Cham: Springer, 2021, s. 331-352Kapitel i bok, del av antologi (Övrigt vetenskapligt)
Abstract [en]
When simulation models shall be used to support decision-making, the trustworthiness of the results need to be ensured. Usually, models are validated against real-world data. Yet, in the ongoing pandemic, there is a lack of respective data that can be used to validate the model’s behaviour. To overcome this issue, this chapter discusses the validation of simulation models for the Covid-19 pandemic by comparing their results among each other. To this end, we present a formal comparison between the existing behaviour-based epidemiological model that was developed at the University of Oxford and the ASSOCC model.
Ort, förlag, år, upplaga, sidor
Cham: Springer, 2021. s. 331-352
Serie
Computational Social Sciences, ISSN 2509-9574, E-ISSN 2509-9582
Nationell ämneskategori
Folkhälsovetenskap, global hälsa, socialmedicin och epidemiologi Datavetenskap (datalogi) Data- och informationsvetenskap
Identifikatorer
URN: urn:nbn:se:mau:diva-47270DOI: 10.1007/978-3-030-76397-8_12ISBN: 978-3-030-76396-1 (tryckt)ISBN: 978-3-030-76397-8 (digital)OAI: oai:DiVA.org:mau-47270DiVA, id: diva2:1617623
2021-12-072021-12-072022-03-11Bibliografiskt granskad