Volume 66, Issue 5

Search all Computational Mechanics articles

November 2020

Special Issue: Modeling and Simulation of Infectious Diseases-Propagation, Decontamination and Mitigation

Issue Editors:

Tarek I. Zohdi,
Ellen Kuhl

12 articles in this issue

Modeling and simulation of infectious diseases
Tarek I. Zohdi
Ellen Kuhl
Editorial 19 August 2020 Pages: 1053 - 1053
Bayesian-based predictions of COVID-19 evolution in Texas using multispecies mixture-theoretic continuum models
Prashant K. Jha
Lianghao Cao
J. Tinsley Oden
Original Paper 31 July 2020 Pages: 1055 - 1068
Memory-based meso-scale modeling of Covid-19
Andreas Kergaßner
Christian Burkhardt
Silvia Budday
Original Paper Open access 03 August 2020 Pages: 1069 - 1079
Is it safe to lift COVID-19 travel bans? The Newfoundland story
Kevin Linka
Proton Rahman
Ellen Kuhl
Original Paper 29 August 2020 Pages: 1081 - 1092
Detailed simulation of viral propagation in the built environment
Rainald Löhner
Harbir Antil
Eugenio Oñate
Original Paper 05 August 2020 Pages: 1093 - 1107
Characterization of partially observed epidemics through Bayesian inference: application to COVID-19
Cosmin Safta
Jaideep Ray
Khachik Sargsyan
Original Paper 07 October 2020 Pages: 1109 - 1129
Diffusion–reaction compartmental models formulated in a continuum mechanics framework: application to COVID-19, mathematical analysis, and numerical study
Alex Viguerie
Alessandro Veneziani
Ferdinando Auricchio
Original Paper Open access 13 August 2020 Pages: 1131 - 1152
System inference for the spatio-temporal evolution of infectious diseases: Michigan in the time of COVID-19
Z. Wang
X. Zhang
K. Garikipati
Original Paper 12 August 2020 Pages: 1153 - 1176
Correction to: System inference for the spatio-temporal evolution of infectious diseases: Michigan in the time of COVID-19
Z. Wang
X. Zhang
K. Garikipati
Correction 30 September 2020 Pages: 1177 - 1177
Dynamics identification and forecasting of COVID-19 by switching Kalman filters
Xiaoshu Zeng
Roger Ghanem
Original Paper 29 August 2020 Pages: 1179 - 1193
An agent-based computational framework for simulation of global pandemic and social response on planet X
T. I. Zohdi
Original Paper 31 July 2020 Pages: 1195 - 1209
Correction to: An agent-based computational framework for simulation of global pandemic and social response on planet X
T. I. Zohdi
Correction 12 September 2020 Pages: 1211 - 1211

Volume 66, Issue 5

Modeling and simulation of infectious diseases

Bayesian-based predictions of COVID-19 evolution in Texas using multispecies mixture-theoretic continuum models

Memory-based meso-scale modeling of Covid-19

Is it safe to lift COVID-19 travel bans? The Newfoundland story

Detailed simulation of viral propagation in the built environment

Characterization of partially observed epidemics through Bayesian inference: application to COVID-19

Diffusion–reaction compartmental models formulated in a continuum mechanics framework: application to COVID-19, mathematical analysis, and numerical study

System inference for the spatio-temporal evolution of infectious diseases: Michigan in the time of COVID-19

Correction to: System inference for the spatio-temporal evolution of infectious diseases: Michigan in the time of COVID-19

Dynamics identification and forecasting of COVID-19 by switching Kalman filters

An agent-based computational framework for simulation of global pandemic and social response on planet X

Correction to: An agent-based computational framework for simulation of global pandemic and social response on planet X

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