TY - GEN
T1 - Panel on Simulation Modeling for Covid-19
AU - Aleman, DIonne M.
AU - Anagnostou, Anastasia
AU - Currie, Christine S.M.
AU - Fowler, John
AU - Gel, Esma S.
AU - Rutherford, Alexander R.
N1 - Funding Information:
DIONNE ALEMAN is an Associate Professor in the Department of Mechanical & Industrial Engineering at the University of Toronto, with appointments in the Institute for Health Policy, Management & Evaluation; the Institute for Pandemics; and the University Health Network Techna Institute. She is also co-Lead for the Toronto-Manchester Joint Translational Centre for Digital Health, and is a member of the Public Health Agency of Canada’s external experts Covid modeling group. Her research focuses on the application of operations research to medical and healthcare systems to improve the quality, timeliness, and efficiency of care. This research includes using optimization, simulation, machine learning, and graph theory to solve problems in pandemic modeling, radiation therapy, hospital scheduling, and organ transplant matching. This research has been supported by NSERC, CIHR, CFI, ORF, and NSF. She additionally is a two-term past President of the Canadian Operational Research Society (CORS-SCRO). Her email address is aleman@mie.utoronto.ca.
Funding Information:
ESMA S. GEL is an Associate Professor of Industrial Engineering at the School of Computing, Informatics and Decision Systems Engineering of Arizona State University. Gel’s research focuses on the use of stochastic modeling and control techniques for the design, control and management of operations in various settings, with emphasis on manufacturing and service systems, business and logistics processes, and health care systems. Since the beginning of the Covid-19 pandemic, she has been working as the lead modeler for the Modeling Emerging Threats for Arizona (METAz) workgroup of ASU with a group of epidemiology and public health experts. The projections produced by the group have been able to predict trends in hospitalization and deaths from May 2020 to present and is informing projection updates provided to the Arizona Department of Health Services by ASU. Gel’s work has been published in leading journals of her field and funded by the National Science Foundation as well as several industrial partners such as Intel and Mayo Clinic. Gel holds a B.S. degree in Industrial Engineering from Middle East Technical University, Turkey, and M.S. and Ph.D. degrees in Industrial Engineering from Northwestern University,
Funding Information:
The work conducted by Anastasia Anagnostou is partially funded by the EU H2020 STAMINA project No. 883441. The work conducted by Alexander Rutherford is partially funded by a grant through the Partnership and Innovation Program of the British Columbia Ministry of Health.
Publisher Copyright:
© 2021 IEEE.
PY - 2021
Y1 - 2021
N2 - This is a panel paper which discusses the use of simulation modeling in mitigating the effects of the Covid-19 pandemic. We have gathered a group of expert modelers from around the world who have worked on healthcare simulation projects associated with the pandemic and the paper provides their answers to an initial set of questions. These serve to provide a description of the modeling work that has taken place already and to make suggestions for future directions both in modeling Covid-19 and preparing the world for future healthcare emergencies.
AB - This is a panel paper which discusses the use of simulation modeling in mitigating the effects of the Covid-19 pandemic. We have gathered a group of expert modelers from around the world who have worked on healthcare simulation projects associated with the pandemic and the paper provides their answers to an initial set of questions. These serve to provide a description of the modeling work that has taken place already and to make suggestions for future directions both in modeling Covid-19 and preparing the world for future healthcare emergencies.
UR - http://www.scopus.com/inward/record.url?scp=85126117750&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=85126117750&partnerID=8YFLogxK
U2 - 10.1109/WSC52266.2021.9715328
DO - 10.1109/WSC52266.2021.9715328
M3 - Conference contribution
AN - SCOPUS:85126117750
T3 - Proceedings - Winter Simulation Conference
BT - 2021 Winter Simulation Conference, WSC 2021
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 2021 Winter Simulation Conference, WSC 2021
Y2 - 12 December 2021 through 15 December 2021
ER -