Modeling the cardiac response to hemodynamic changes associated with COVID-19: a computational study
type: Item
instance of: scholarly article
title: Modeling the cardiac response to hemodynamic changes associated with COVID-19: a computational study
zbMATH Open document ID: 1471.92113
author: Luca Dedé
author: Francesco Regazzoni
author: Christian Vergara
author: Paolo Zunino
author: Marco Guglielmo
author: Roberto Scrofani
author: Laura Fusini
author: Chiara Cogliati
author: Gianluca Pontone
author: Alfio Quarteroni
published in: Mathematical Biosciences and Engineering
publication date: 2021-09-13T00:00:00Z
Mathematics Subject Classification ID: 92C35
Mathematics Subject Classification ID: 92C10
Mathematics Subject Classification ID: 92-08
zbMATH DE Number: 7394567
zbMATH Keywords: COVID-19
zbMATH Keywords: computational models
zbMATH Keywords: cardiovascular system
zbMATH Keywords: cardiac function
zbMATH Keywords: numerical simulations
describes a project that uses: Dymola
MaRDI profile type: Publication
full work available at URL: mbe.2021168
OpenAlex ID: W3156386178
cites work: Mathematical Modelling of the Human Cardiovascular System
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cites work: The cardiovascular system: Mathematical modelling, numerical algorithms and clinical applications
cites work: Mathematical cardiac electrophysiology
cites work: Computational model of three-dimensional cardiac electromechanics
cites work: Q3521017
cites work: A computational model applied to myocardial perfusion in the human heart: from large coronaries to microvasculature
DOI: 10.3934/MBE.2021168
description: scientific article; zbMATH DE number 7394567