Managing SARS-CoV-2 Testing in Schools with an Artificial Intelligence Model and Application Developed by Simulation Data

Managing SARS-CoV-2 Testing in Schools with an Artificial Intelligence Model and Application Developed by Simulation Data

Research on SARS-CoV-2 and its social implications have become a major focus to interdisciplinary teams worldwide. As interest in more direct solutions, such as mass testing and vaccination grows, several studies appear to be dedicated to the operationalization of those solutions, leveraging both tr...

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Main Authors: Svetozar Zarko Valtchev, Ali Asgary, Michael Chen, Felippe A. Cronemberger, Mahdi M. Najafabadi, Monica Gabriela Cojocaru, Jianhong Wu
Format: Article
Language:English
Published: MDPI AG 2021-07-01
Series:Electronics
Subjects:
AI
COVID-19
disease modelling
epidemiology
machine learning
SEIR
Online Access:https://www.mdpi.com/2079-9292/10/14/1626
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spelling doaj-9d02a71f4590415d9e0d5a7fcf7679952021-07-23T13:37:57ZengMDPI AGElectronics2079-92922021-07-01101626162610.3390/electronics10141626Managing SARS-CoV-2 Testing in Schools with an Artificial Intelligence Model and Application Developed by Simulation DataSvetozar Zarko Valtchev0Ali Asgary1Michael Chen2Felippe A. Cronemberger3Mahdi M. Najafabadi4Monica Gabriela Cojocaru5Jianhong Wu6Laboratory for Industrial and Applied Mathematics, York University, Toronto, ON M3J 1P3, CanadaDisaster & Emergency Management, School of Administrative Studies, Faculty of Liberal Arts and Professional Studies, Advanced Disaster, Emergency and Rapid Response Simulation, York University, Toronto, ON M3J 1P3, CanadaDepartment of Mathematics & Statistics, York University, Toronto, ON M3J 1P3, CanadaCenter for Technology in Government (CTG), University at Albany, Albany, NY 12222, USAAdvanced Disaster, Emergency and Rapid Response Simulation, York University, Toronto, ON M3J 1P3, CanadaDepartment of Mathematics & Statistics, University of Guelph, Guelph, ON N1G 2W1, CanadaLaboratory for Industrial and Applied Mathematics, York University, Toronto, ON M3J 1P3, CanadaResearch on SARS-CoV-2 and its social implications have become a major focus to interdisciplinary teams worldwide. As interest in more direct solutions, such as mass testing and vaccination grows, several studies appear to be dedicated to the operationalization of those solutions, leveraging both traditional and new methodologies, and, increasingly, the combination of both. This research examines the challenges anticipated for preventative testing of SARS-CoV-2 in schools and proposes an artificial intelligence (AI)-powered agent-based model crafted specifically for school scenarios. This research shows that in the absence of real data, simulation-based data can be used to develop an artificial intelligence model for the application of rapid assessment of school testing policies.https://www.mdpi.com/2079-9292/10/14/1626AICOVID-19disease modellingepidemiologymachine learningSEIR
collection DOAJ
language English
format Article
sources DOAJ
author Svetozar Zarko Valtchev
Ali Asgary
Michael Chen
Felippe A. Cronemberger
Mahdi M. Najafabadi
Monica Gabriela Cojocaru
Jianhong Wu
spellingShingle Svetozar Zarko Valtchev
Ali Asgary
Michael Chen
Felippe A. Cronemberger
Mahdi M. Najafabadi
Monica Gabriela Cojocaru
Jianhong Wu
Managing SARS-CoV-2 Testing in Schools with an Artificial Intelligence Model and Application Developed by Simulation Data
Electronics
AI
COVID-19
disease modelling
epidemiology
machine learning
SEIR
author_facet Svetozar Zarko Valtchev
Ali Asgary
Michael Chen
Felippe A. Cronemberger
Mahdi M. Najafabadi
Monica Gabriela Cojocaru
Jianhong Wu
author_sort Svetozar Zarko Valtchev
title Managing SARS-CoV-2 Testing in Schools with an Artificial Intelligence Model and Application Developed by Simulation Data
title_short Managing SARS-CoV-2 Testing in Schools with an Artificial Intelligence Model and Application Developed by Simulation Data
title_full Managing SARS-CoV-2 Testing in Schools with an Artificial Intelligence Model and Application Developed by Simulation Data
title_fullStr Managing SARS-CoV-2 Testing in Schools with an Artificial Intelligence Model and Application Developed by Simulation Data
title_full_unstemmed Managing SARS-CoV-2 Testing in Schools with an Artificial Intelligence Model and Application Developed by Simulation Data
title_sort managing sars-cov-2 testing in schools with an artificial intelligence model and application developed by simulation data
publisher MDPI AG
series Electronics
issn 2079-9292
publishDate 2021-07-01
description Research on SARS-CoV-2 and its social implications have become a major focus to interdisciplinary teams worldwide. As interest in more direct solutions, such as mass testing and vaccination grows, several studies appear to be dedicated to the operationalization of those solutions, leveraging both traditional and new methodologies, and, increasingly, the combination of both. This research examines the challenges anticipated for preventative testing of SARS-CoV-2 in schools and proposes an artificial intelligence (AI)-powered agent-based model crafted specifically for school scenarios. This research shows that in the absence of real data, simulation-based data can be used to develop an artificial intelligence model for the application of rapid assessment of school testing policies.
topic AI
COVID-19
disease modelling
epidemiology
machine learning
SEIR
url https://www.mdpi.com/2079-9292/10/14/1626
work_keys_str_mv AT svetozarzarkovaltchev managingsarscov2testinginschoolswithanartificialintelligencemodelandapplicationdevelopedbysimulationdata
AT aliasgary managingsarscov2testinginschoolswithanartificialintelligencemodelandapplicationdevelopedbysimulationdata
AT michaelchen managingsarscov2testinginschoolswithanartificialintelligencemodelandapplicationdevelopedbysimulationdata
AT felippeacronemberger managingsarscov2testinginschoolswithanartificialintelligencemodelandapplicationdevelopedbysimulationdata
AT mahdimnajafabadi managingsarscov2testinginschoolswithanartificialintelligencemodelandapplicationdevelopedbysimulationdata
AT monicagabrielacojocaru managingsarscov2testinginschoolswithanartificialintelligencemodelandapplicationdevelopedbysimulationdata
AT jianhongwu managingsarscov2testinginschoolswithanartificialintelligencemodelandapplicationdevelopedbysimulationdata
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