Details der Publikation - Assessing the quality of evidence from epidemiological agent-based models for the COVID-19 pandemic

Assessing the quality of evidence from epidemiological agent-based models for the COVID-19 pandemic

Abstract Agent-based models (ABMs) are one of the main sources of evidence for decisions regarding mitigation and suppression measures against the spread of SARS-CoV-2. These models have not been previously included in the hierarchy of evidence put forth by the evidence-based medicine movement, which prioritizes those research methods that deliver results less susceptible to the risk of confounding. We point out the need to assess the quality of evidence delivered by ABMs and ask the question of what is the risk that assumptions entertained in ABMs do not include all the key factors and make model predictions susceptible to the problem of confounding..

Medienart:	E-Artikel

Erscheinungsjahr:	2021
Erschienen:	2021

Enthalten in:	Zur Gesamtaufnahme - volume:43
Enthalten in:	History and philosophy of the life sciences - 43(2021), 1 vom: 20. Jan.

Sprache:	Englisch

Beteiligte Personen:	Maziarz, Mariusz [VerfasserIn] Zach, Martin [VerfasserIn]

Links:	Volltext [lizenzpflichtig]

BKL:	30.01$jGeschichte der Naturwissenschaften 42.60$jZoologie: Allgemeines
Themen:	Agent-based models EBM SARS-CoV-2

Anmerkungen:	© Springer Nature Switzerland AG 2021

doi:	10.1007/s40656-020-00357-4

funding:
Förderinstitution / Projekttitel:

PPN (Katalog-ID):	OLC2122921366

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520			\|a Abstract Agent-based models (ABMs) are one of the main sources of evidence for decisions regarding mitigation and suppression measures against the spread of SARS-CoV-2. These models have not been previously included in the hierarchy of evidence put forth by the evidence-based medicine movement, which prioritizes those research methods that deliver results less susceptible to the risk of confounding. We point out the need to assess the quality of evidence delivered by ABMs and ask the question of what is the risk that assumptions entertained in ABMs do not include all the key factors and make model predictions susceptible to the problem of confounding.
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Assessing the quality of evidence from epidemiological agent-based models for the COVID-19 pandemic

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