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A machine learning aided global diagnostic and comparative tool to assess effect of quarantine control in Covid-19 spread [article]

Raj Dandekar, Chris Rackauckas, George Barbastathis
2020 medRxiv   pre-print
and Asia in controlling the spread of the virus.  ...  The model decomposes the contributions to the infection timeseries to analyze and compare the role of quarantine control policies employed in highly affected regions of Europe, North America, South America  ...  We are grateful to Emma Wang for help with some of the simulations, and to Haluk Akay, Hyungseok Kim and Wujie Wang for helpful discussions and suggestions.  ... 
doi:10.1101/2020.07.23.20160697 fatcat:oqhgvy3n7bcljotesndukhyprq

A machine learning aided global diagnostic and comparative tool to assess effect of quarantine control in Covid-19 spread [article]

Raj Dandekar, Chris Rackauckas, George Barbastathis
2020 arXiv   pre-print
and Asia in controlling the spread of the virus.  ...  The model decomposes the contributions to the infection timeseries to analyze and compare the role of quarantine control policies employed in highly affected regions of Europe, North America, South America  ...  We are grateful to Emma Wang for help with some of the simulations, and to Haluk Akay, Hyungseok Kim and Wujie Wang for helpful discussions and suggestions.  ... 
arXiv:2007.13540v1 fatcat:di7dk5elsbe2hjqmyuur3l2dv4

A Machine Learning-Aided Global Diagnostic and Comparative Tool to Assess Effect of Quarantine Control in COVID-19 Spread

Raj Dandekar, Chris Rackauckas, George Barbastathis
2020 Patterns  
, and Asia in controlling the spread of the virus.  ...  The model decomposes the contributions to the infection time series to analyze and compare the role of quarantine control policies used in highly affected regions of Europe, North America, South America  ...  DECLARATION OF INTERESTS The authors declare no conflicts of interest.  ... 
doi:10.1016/j.patter.2020.100145 pmid:33225319 pmcid:PMC7671652 fatcat:ls5zydzrrrfe3ashrtomkxejrm

Coronavirus Disease 2019 (COVID-19) diagnostic technologies: A country-based retrospective on screening and containment procedures during the first wave of the pandemic

Brandon K.K. Fields, Natalie L. Demirjian, Ali Gholamrezanezhad
2020 Clinical imaging  
As the strain on the radiology workforce continues to mount, early results indicate a promising role for the use of machine-learning algorithms as risk stratification schema in the months to come.  ...  Though current national and international guidelines recommend for the use of RT-PCR as the primary screening tool for suspected cases of COVID-19, institutional and regional protocols must consider local  ...  Acknowledgments The authors would like to thank Isa Pasha Zanousi for his assistance in generating the 3-dimensional chest CT reconstruction pictured in Fig. 1 .  ... 
doi:10.1016/j.clinimag.2020.08.014 pmid:32871426 pmcid:PMC7448874 fatcat:kw2mssvcpnaivfrlxjrfgfctey

Overview of current state of research on the application of artificial intelligence techniques for COVID-19

Vijay Kumar, Dilbag Singh, Manjit Kaur, Robertas Damaševičius
2021 PeerJ Computer Science  
Methodology This review focuses on two prime challenges caused by urgent needs to effectively address the challenges of the COVID-19 pandemic, i.e., the development of COVID-19 classification tools and  ...  Until now, there are still a limited number of resources available to predict and diagnose COVID-19 disease.  ...  It was helpful to reduce the spreading of infections. Yan et al. (2020) proposed a machine learning technique to predict the severity of COVID-19.  ... 
doi:10.7717/peerj-cs.564 pmid:34141890 pmcid:PMC8176528 fatcat:mhdwjhekgrgd5jzumt7blnshfy

Impact Analysis of Machine Learning Techniques for COVID-19 Diagnosis: A Critical Review

Anshul, Et. al.
2021 Turkish Journal of Computer and Mathematics Education  
This paper provides the works done in COVID-19 diagnosis, the role of ML and DL based methods to solve this problem, and presents limitations with respect to COVID-19 diagnosis.  ...  COVID-19 virus belongs to the severe acute respiratory syndrome (SARS) family raised a situation of health emergency in almost all the countries of the world.  ...  Machine learning diagnostic implements are particularly precise in detecting the virus appearance by means of radiological images & can be used as a tool for assessment.  ... 
doi:10.17762/turcomat.v12i2.863 fatcat:64e3jigqrnhdxctpvw5rfcfkma

Investigation on the impacts of COVID-19 quarantine on society and environment: Preventive measures and supportive technologies

Santhosh Kumar Kumaravel, Ranjith Kumar Subramani, Tharun Kumar Jayaraj Sivakumar, Rajvikram Madurai Elavarasan, Ajayragavan Manavalanagar Vetrichelvan, Annapurna Annam, Umashankar Subramaniam
2020 3 Biotech  
Moreover, the teachings we need to learn from the quarantine situation created to prevent further spread of this global pandemic is discussed in brief and the importance of carrying them to the future.  ...  Other than the negative effects caused by COVID-19, it is also equally important for the public to understand some of the positive impacts it has directly or indirectly given to society.  ...  They have helped us by suggesting some practical issues that are faced by the Corona Virus affected patients and the doctors working in the hospital during the COVID-19 period.  ... 
doi:10.1007/s13205-020-02382-3 pmid:32821645 pmcid:PMC7429420 fatcat:37bsadqmcvhebolb7voze3dcci

Forecasting Models for Coronavirus Disease (COVID-19): A Survey of the State-of-the-Art

Gitanjali R. Shinde, Asmita B. Kalamkar, Parikshit N. Mahalle, Nilanjan Dey, Jyotismita Chaki, Aboul Ella Hassanien
2020 SN Computer Science  
This study discusses these challenges and also provides a set of recommendations for the people who are currently fighting the global COVID-19 pandemic.  ...  COVID-19 is a pandemic that has affected over 170 countries around the world. The number of infected and deceased patients has been increasing at an alarming rate in almost all the affected nations.  ...  quarantine and isolation with the spread of COVID-19, trend analysis of COVID-19 pandemic and tracking the spread of COVID-19 locally and globally.  ... 
doi:10.1007/s42979-020-00209-9 pmid:33063048 pmcid:PMC7289234 fatcat:m7syzcbpufhrbfghy52sr5y6wu

Optimization in the Context of COVID-19 Prediction and Control: A Literature Review

Elizabeth Jordan, Delia E. Shin, Surbhi Leekha, Shapour Azarm
2021 IEEE Access  
machine learning approaches.  ...  In this context and to the best of our knowledge, this survey paper is the first in the literature with a focus on the prediction and control related optimization studies.  ...  tools to aid in combating the spread.  ... 
doi:10.1109/access.2021.3113812 fatcat:z4cgdqiqzjblbawkfz7vb6fdb4

Applications of Artificial Intelligence in Combating Covid-19: A Systematic Review

Akpofure A. Enughwure, Isaac C. Febaide
2020 OALib  
Our data comprised of research papers on COVID-19 and AI or deep learning or machine learning, which are subsets of AI.  ...  This research conducted a systematic literature review to unravel the applications of Artificial Intelligence (AI) to tackle the COVID-19 pandemic.  ...  Finally, to the love of our lives, our deepest gratitude. Your encouragement when the times got rough are much appreciated and duly noted. Our heartfelt thanks.  ... 
doi:10.4236/oalib.1106628 fatcat:ywqqx6vgurbdvibd5bcwt6uewi

Emerging Technologies for Use in the Study, Diagnosis, and Treatment of Patients with COVID-19

Maria Tsikala Vafea, Eleftheria Atalla, Joanna Georgakas, Fadi Shehadeh, Evangelia K. Mylona, Markos Kalligeros, Eleftherios Mylonakis
2020 Cellular and Molecular Bioengineering  
The purpose of this review is to summarize emerging technologies being implemented in the study, diagnosis, and treatment of COVID-19.  ...  The COVID-19 pandemic has caused an unprecedented health and economic worldwide crisis.  ...  Emerging technologies have aided in the study of COVID-19, the development of advanced diagnostic tools and treatments, and the response to medical supply shortages.  ... 
doi:10.1007/s12195-020-00629-w pmid:32837582 pmcid:PMC7314428 fatcat:kttype3tofcpvlff4to35sqynq

A Review for Artificial Intelligence Proving to Fight Against COVID-19 Pandemic and Prefatory Health Policy

Hyunjo Kim, Gyoonhee Han, Jae-Hoon Song
2020 Journal of Medical Biomedical And Applied Sciences  
A progressive search of the database related to modern technology towards COVID-19 pandemic is made.  ...  Further, a brief review is done on the extracted information by assessing the various aspects of modern technologies for tackling COVID-19 pandemic.  ...  The fight against COVID-19 is being supported by a number of databases and artificial intelligence (AI)based initiatives aimed at assessing dissemination of the disease, aiding in detection and diagnosis  ... 
doi:10.15520/jmbas.v8i8.247 fatcat:qu7pu3tuorbvjn4dxpmr3pcf3m

The Power of Computational Intelligence Methods in the Containment of COVID-19 Pandemic from Detection to Recovery [chapter]

Abdullahi Isa, Barka Piyinkir Ndahi
2021 Viral Outbreaks [Working Title]  
in the battle against COVID-19.  ...  , and contact tracing to prevent or slow the virus from the spread, monitoring the recovery of the infected individuals.  ...  Lack of diagnostic tools and efficient tests continue to cause a major problem in controlling the spread of the disease [2] .  ... 
doi:10.5772/intechopen.98931 fatcat:bgbimrqkkbht7lvols65vddlsy

Artificial intelligence-based approaches for COVID-19 patient management

Lan Lan, Wenbo Sun, Dan Xu, Minhua Yu, Feng Xiao, Huijuan Hu, Haibo Xu, Xinghuan Wang
2021 Intelligent Medicine  
During the highly infectious pandemic of coronavirus disease 2019 (COVID-19), artificial intelligence (AI) has provided support in addressing challenges and accelerating achievements in controlling this  ...  It has been applied in fields varying from outbreak forecasting to patient management and drug/vaccine development.  ...  [48] applied random forest machine learning and artificial neural networks to identify an altered immune cell profile as a rapid diagnosis tool for COVID-19.  ... 
doi:10.1016/j.imed.2021.05.005 pmid:34447600 pmcid:PMC8189732 fatcat:g6hj2jzvujc57ag55fualejxzy

Coronavirus disease (COVID-19) cases analysis using machine-learning applications

Ameer Sardar Kwekha-Rashid, Heamn N Abduljabbar, Bilal Alhayani
2021 Applied Nanoscience  
In conclusion, machine learning can be involved in the health provider programs and plans to assess and triage the COVID-19 cases.  ...  The purpose of this study is to detect the role of machine-learning applications and algorithms in investigating and various purposes that deals with COVID-19.  ...  Declarations Conflict of interest There are no conflicts of interest.  ... 
doi:10.1007/s13204-021-01868-7 pmid:34036034 pmcid:PMC8138510 fatcat:u6lmwycdnjdovcnutrvj7rmzlu
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