Literature DB >> 34812339

Artificial Intelligence (AI) and Big Data for Coronavirus (COVID-19) Pandemic: A Survey on the State-of-the-Arts.

Quoc-Viet Pham1, Dinh C Nguyen2, Thien Huynh-The3, Won-Joo Hwang4,5, Pubudu N Pathirana2.   

Abstract

The very first infected novel coronavirus case (COVID-19) was found in Hubei, China in Dec. 2019. The COVID-19 pandemic has spread over 214 countries and areas in the world, and has significantly affected every aspect of our daily lives. At the time of writing this article, the numbers of infected cases and deaths still increase significantly and have no sign of a well-controlled situation, e.g., as of 13 July 2020, from a total number of around 13.1 million positive cases, 571,527 deaths were reported in the world. Motivated by recent advances and applications of artificial intelligence (AI) and big data in various areas, this paper aims at emphasizing their importance in responding to the COVID-19 outbreak and preventing the severe effects of the COVID-19 pandemic. We firstly present an overview of AI and big data, then identify the applications aimed at fighting against COVID-19, next highlight challenges and issues associated with state-of-the-art solutions, and finally come up with recommendations for the communications to effectively control the COVID-19 situation. It is expected that this paper provides researchers and communities with new insights into the ways AI and big data improve the COVID-19 situation, and drives further studies in stopping the COVID-19 outbreak. This work is licensed under a Creative Commons Attribution 4.0 License. For more information, see https://creativecommons.org/licenses/by/4.0/.

Entities:  

Keywords:  Artificial intelligence (AI); COVID-19; big data; coronavirus; data analytics; deep learning; epidemic outbreak; machine learning

Year:  2020        PMID: 34812339      PMCID: PMC8545324          DOI: 10.1109/ACCESS.2020.3009328

Source DB:  PubMed          Journal:  IEEE Access        ISSN: 2169-3536            Impact factor:   3.367


  63 in total

1.  Concurrence of big data analytics and healthcare: A systematic review.

Authors:  Nishita Mehta; Anil Pandit
Journal:  Int J Med Inform       Date:  2018-03-26       Impact factor: 4.046

2.  Improved protein structure prediction using potentials from deep learning.

Authors:  Andrew W Senior; Richard Evans; John Jumper; James Kirkpatrick; Laurent Sifre; Tim Green; Chongli Qin; Augustin Žídek; Alexander W R Nelson; Alex Bridgland; Hugo Penedones; Stig Petersen; Karen Simonyan; Steve Crossan; Pushmeet Kohli; David T Jones; David Silver; Koray Kavukcuoglu; Demis Hassabis
Journal:  Nature       Date:  2020-01-15       Impact factor: 49.962

3.  Non-neuronal expression of SARS-CoV-2 entry genes in the olfactory system suggests mechanisms underlying COVID-19-associated anosmia.

Authors:  David H Brann; Tatsuya Tsukahara; Caleb Weinreb; Marcela Lipovsek; Koen Van den Berge; Boying Gong; Rebecca Chance; Iain C Macaulay; Hsin-Jung Chou; Russell B Fletcher; Diya Das; Kelly Street; Hector Roux de Bezieux; Yoon-Gi Choi; Davide Risso; Sandrine Dudoit; Elizabeth Purdom; Jonathan Mill; Ralph Abi Hachem; Hiroaki Matsunami; Darren W Logan; Bradley J Goldstein; Matthew S Grubb; John Ngai; Sandeep Robert Datta
Journal:  Sci Adv       Date:  2020-07-24       Impact factor: 14.136

Review 4.  Deep Learning and Its Applications in Biomedicine.

Authors:  Chensi Cao; Feng Liu; Hai Tan; Deshou Song; Wenjie Shu; Weizhong Li; Yiming Zhou; Xiaochen Bo; Zhi Xie
Journal:  Genomics Proteomics Bioinformatics       Date:  2018-03-06       Impact factor: 7.691

5.  Rapid Identification of Potential Inhibitors of SARS-CoV-2 Main Protease by Deep Docking of 1.3 Billion Compounds.

Authors:  Anh-Tien Ton; Francesco Gentile; Michael Hsing; Fuqiang Ban; Artem Cherkasov
Journal:  Mol Inform       Date:  2020-03-23       Impact factor: 4.050

6.  Automated Quantification of CT Patterns Associated with COVID-19 from Chest CT.

Authors:  Shikha Chaganti; Philippe Grenier; Abishek Balachandran; Guillaume Chabin; Stuart Cohen; Thomas Flohr; Bogdan Georgescu; Sasa Grbic; Siqi Liu; François Mellot; Nicolas Murray; Savvas Nicolaou; William Parker; Thomas Re; Pina Sanelli; Alexander W Sauter; Zhoubing Xu; Youngjin Yoo; Valentin Ziebandt; Dorin Comaniciu
Journal:  Radiol Artif Intell       Date:  2020-07-29

7.  Big Data Analytics, Infectious Diseases and Associated Ethical Impacts.

Authors:  Chiara Garattini; Jade Raffle; Dewi N Aisyah; Felicity Sartain; Zisis Kozlakidis
Journal:  Philos Technol       Date:  2017-08-24

8.  Application of deep learning for fast detection of COVID-19 in X-Rays using nCOVnet.

Authors:  Harsh Panwar; P K Gupta; Mohammad Khubeb Siddiqui; Ruben Morales-Menendez; Vaishnavi Singh
Journal:  Chaos Solitons Fractals       Date:  2020-05-28       Impact factor: 5.944

9.  An alternative workflow for molecular detection of SARS-CoV-2 - escape from the NA extraction kit-shortage, Copenhagen, Denmark, March 2020.

Authors:  Anna S Fomsgaard; Maiken Worsøe Rosenstierne
Journal:  Euro Surveill       Date:  2020-04

10.  The effect of travel restrictions on the spread of the 2019 novel coronavirus (COVID-19) outbreak.

Authors:  Matteo Chinazzi; Jessica T Davis; Marco Ajelli; Corrado Gioannini; Maria Litvinova; Stefano Merler; Ana Pastore Y Piontti; Kunpeng Mu; Luca Rossi; Kaiyuan Sun; Cécile Viboud; Xinyue Xiong; Hongjie Yu; M Elizabeth Halloran; Ira M Longini; Alessandro Vespignani
Journal:  Science       Date:  2020-03-06       Impact factor: 47.728

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  40 in total

Review 1.  Non-Pharmaceutical Interventions against COVID-19 Pandemic: Review of Contact Tracing and Social Distancing Technologies, Protocols, Apps, Security and Open Research Directions.

Authors:  Uzoma Rita Alo; Friday Onwe Nkwo; Henry Friday Nweke; Ifeanyi Isaiah Achi; Henry Anayo Okemiri
Journal:  Sensors (Basel)       Date:  2021-12-30       Impact factor: 3.576

2.  A systematic review on AI/ML approaches against COVID-19 outbreak.

Authors:  Onur Dogan; Sanju Tiwari; M A Jabbar; Shankru Guggari
Journal:  Complex Intell Systems       Date:  2021-07-05

3.  The Role of Internet of Things to Control the Outbreak of COVID-19 Pandemic.

Authors:  Aniello Castiglione; Muhammad Umer; Saima Sadiq; Mohammad S Obaidat; Pandi Vijayakumar
Journal:  IEEE Internet Things J       Date:  2021-04-01       Impact factor: 10.238

Review 4.  Artificial intelligence for forecasting and diagnosing COVID-19 pandemic: A focused review.

Authors:  Carmela Comito; Clara Pizzuti
Journal:  Artif Intell Med       Date:  2022-03-28       Impact factor: 7.011

5.  Novel COVID-19 Diagnosis Delivery App Using Computed Tomography Images Analyzed with Saliency-Preprocessing and Deep Learning.

Authors:  Santiago Tello-Mijares; Fomuy Woo
Journal:  Tomography       Date:  2022-06-20

6.  Comparison of Conventional Modeling Techniques with the Neural Network Autoregressive Model (NNAR): Application to COVID-19 Data.

Authors:  Muhammad Daniyal; Kassim Tawiah; Sara Muhammadullah; Kwaku Opoku-Ameyaw
Journal:  J Healthc Eng       Date:  2022-06-14       Impact factor: 3.822

Review 7.  Review on the COVID-19 pandemic prevention and control system based on AI.

Authors:  Junfei Yi; Hui Zhang; Jianxu Mao; Yurong Chen; Hang Zhong; Yaonan Wang
Journal:  Eng Appl Artif Intell       Date:  2022-07-11       Impact factor: 7.802

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

Authors:  Vijay Kumar; Dilbag Singh; Manjit Kaur; Robertas Damaševičius
Journal:  PeerJ Comput Sci       Date:  2021-05-26

9.  Identification of COVID-19 Spreaders Using Multiplex Networks Approach.

Authors:  Edwin Montes-Orozco; Roman-Anselmo Mora-Gutierrez; Sergio-Gerardo De-Los-Cobos-Silva; Eric-Alfredo Rincon-Garcia; Gilberto-Sinuhe Torres-Cockrell; Jorge Juarez-Gomez; Bibiana Obregon-Quintana; Pedro Lara-Velazquez; Miguel-Angel Gutierrez-Andrade
Journal:  IEEE Access       Date:  2020-07-07       Impact factor: 3.367

10.  Prediction of global spread of COVID-19 pandemic: a review and research challenges.

Authors:  Saloni Shah; Aos Mulahuwaish; Kayhan Zrar Ghafoor; Halgurd S Maghdid
Journal:  Artif Intell Rev       Date:  2021-07-16       Impact factor: 9.588

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