A Survey on Covid-19 & Its Impacts

Authors

  • A. R. Venkataramanan Assistant Professor, Department of Mechanical Engineering, Sona college of Technology, SALEM, Tamil Nadu.
  • K. V. Kanimozhi Department of Computer Science and Engineering, Saveetha School of Engineering, Saveetha Institute of Medical and Technical Sciences, Chennai, India
  • K. Valarmathia CSE, Panimalar Engineering College, Chennai, Tamil Nadu, India
  • M. Therasa Associate professor, Department of CSE, Panimalar Institute of technology, Chennai, Tamil Nadu, India
  • S. Hemalatha Professor/CSE, Panimalar Institute of Technology, Chennai, Tamil Nadu, India
  • M. Thangamani Associate Professor/ Information Technology, Kongu Engineering College, Perundurai, Erode, Tamil Nadu, India.
  • Kamal Gulati Associate Professor, Amity University, Noida, Uttar Pradesh, India https://orcid.org/0000-0002-1186-1426

Keywords:

Covid-19, Machine learning, Datasets, Pandemic, Deep learning

Abstract

In this survey paper, we have gathered nearly 30 papers to helps us in the identification of the new corona virus variant and the impact it has had. The global community has been traumatized by the Corona virus disease epidemic that originated in the end of the year 2019 that spread from China. The epidemic has overloaded advanced health care teams all around the world. WHO is actively looking into and reacting to this epidemic. The current statistical increase in the number of patients has prompted the use of AI approaches to foresee the probable result of a COVID affected patient that will benefit the heath care teams to make a decision on the manner of treatment to be administered. The intention is to find out whether machine learning-based algorithms can accurately compute whether or not Covid-19 recovery is achievable. We have analyzed papers that looked into the prediction of the new corona virus in suspected ill-patients, subject of vaccine acceptability, misuse of vaccine, effects of fake news among the community and repercussions that resulted in the usage of social media. This survey has assisted us in gathering a wide range of research information regarding Covid-19, its effects, and some of the treatment approaches proposed by other authors.

Downloads

Download data is not yet available.

References

Kit-San Yuen, Zi -Wei Ye, Sin-Yee Fung, Chi-Ping Chan & Dong-Yan Jin“SARS-CoV-2 and Covid-19: The most important research questions” Yuen et al. Cell Biosci (2020) 10:40 doi:10.1186/s13578-020-00404-4

Nasir Mustafa (Istanbul Gelisim University, Turkey) “Research and Statistics: Coronavirus Disease (Covid-19)” DOI: 10.4018/IJSDA.20210701.oa1

Mohamed Abd Elaziz , Mohammed A. A. Al-qaness,Esraa Osama Abo Zaid,Songfeng Lu ,Rehab Ali Ibrahim,Ahmed A. “Automatic clustering method to segment Covid-19” CT images doi:10.1371/ journal. pone. 0244416

UNDOC “Covid-19 Vaccines And Corruption Risks: Preventing Corruption In The Manufacture, Allocation And Distribution Of Vaccines”

Hafsa Bareen Syeda # 1, Mahanazuddin Syed # 2, Kevin Wayne Sexton 2 3 4, Shorabuddin Syed 2, Salma Begum 5, Farhanuddin Syed 6, Fred Prior 2 7, Feliciano Yu Jr 2 “The Role of Machine Learning Techniques to Tackle Covid-19 Crisis: A Systematic Review” PMID: 33326405 PMCID: PMC7806275DOI: 10.2196/23811

Md Mijanur Rahman , Fatema Khatun , Ashik Uzzaman , Sadia Islam Sami , Md Al-Amin Bhuiyan , Tiong Sieh Kiong “A Comprehensive Study of Artificial Intelligence and Machine Learning Approaches in Confronting the Coronavirus (Covid-19) Pandemic” doi: 10.1177/00207314211017469. Epub 2021 May 17.

Joseph R. Larsen1,2, Margaret R. Martin3, John D. Martin4, Peter Kuhn2* and James B. Hicks “Modelling the Onset of Symptoms of Covid-19” Front. Public Health, 13 August 2020 | doi:10.3389 2020.00473

Mustafa Ghaderzadeh and Farkhondeh Asadi “Deep Learning in the Detection and Diagnosis of Covid-19 Using Radiology Modalities” Volume 2021 |Article ID 6677314 |

Luca Brunese 1, Fabio Martinelli 2, Francesco Mercaldo 1 2, Antonella Santone 3 “Machine learning for coronavirus Covid-19 detection from chest x-rays” PMID: 33042308PMCID: PMC7531990DOI: 10.1016/j.procs.2020.09.258

Fernandes, B., Biswas, U. N., Tan-Mansukhani, R., Vallejo, A., & Essau, C. A. (2020) “The impact of Covid-19 lockdown on internet use and escapism in adolescents” 2021-06276-007/ Sep 2020

Moutaz Alazab, Abdelwadood Mesleh, Ajith Abraham, Vansh Jatana “Covid-19 Prediction and Detection Using Deep Learning” Received: 27 April 2020; Accepted: 28 May, 2020; Published: 29 May, 2020

D.Vetriselvi1, S.Mohanapriya2, K.Varsha3, E.Yamini4 “GUI based Covid-19 patients precondition using SMLT” Volume: 08 Issue: 03 | Mar 2021 p-ISSN: 2395-0072| e-ISSN: 2395-0056

Mahdi Mahdavi ,Hadi Choubdar ,Erfan Zabeh ,Michael Rieder,Safieddin Safavi-Naeini,Zsolt Jobbagy,Amirata Ghorbani,Atefeh Abedini,Arda Kiani,Vida Khanlarzadeh,Reza Lashgari,Ehsan Kamrani “A machine learning based exploration of Covid-19 mortality risk” Published: July 2, 2021 doi: 10.1371/journal.pone.0252384

Mario A. Quiroz-Juárez ,Armando Torres-Gómez,Irma Hoyo-Ulloa,Roberto de J. León-Montiel,Alfred B. U’Ren “Identification of high-risk Covid-19 patients using machine learning” | Published: September 20, 2021| https:// doi.org/10.1371/journal.pone.0257234

Akib Mohi Ud Din Khanday, Syed Tanzeel Rabani, Qamar Rayees Khan, Nusrat Rouf & Masarat Mohi Ud Din “Machine learning based approaches for detecting Covid-19 using clinical text data” International Journal of Information Technology volume 12, pages731–739 (2020)

Yazeed Zoabi, Shira Deri-Rozov & Noam Shomron “Machine learning-based prediction of Covid-19 diagnosis based on symptoms” Published: 04 January 2021 Article number: 3 (2021)

Jamie Alnasir “Distributed Computing in a Pandemic: A Review of Technologies available for Tackling Covid-19” arXiv:2010.04700v2 [cs.DC] 3 Nov 2020

Sina F. Ardabili, Amir Mosavi,Pedram Ghamisi,Filip Ferdinand,Annamaria R. Varkonyi-Koczy,Uwe Reuter,Timon Rabczuk and Peter M. Atkinson “Covid-19 Outbreak Prediction with Machine Learning Algorithms” 2020, 13(10), 249; https://doi.org/10.3390/a13100249

Hongwei Zhao ,Naveed N. Merchant,Alyssa McNulty,Tiffany A. Radcliff,Murray J. Cote,Rebecca S. B. Fischer,Huiyan Sang,Marcia G. Ory” Covid-19: Short term prediction model using daily incidence data” Published: April 14, 2021 https://doi.org/10.1371/journal.pone.0250110

Annwesha Banerjee Majumder “An Intelligent System for Prediction of Covid-19 Case using Machine Learning Framework-Logistic Regression” et al 2021 J. Phys.: Conf. Ser. 1797 012011

Thomaz Teodorovicz Raffaella Sadun Andrew L. Kun Orit Shae “Working from Home during COVID- 19: Evidence from Time-Use Studies” Working Paper 21-094

Ying Wang , 1 Jingyi Zhao , 2 Lan Yang,3 Junhui Hu,1 and Yinhui Yao 1 “Value of the Neutrophil-Lymphocyte Ratio in Predicting COVID- 19 Severity” Volume 2021, Article ID 2571912, 10 pages https:// doi.org/ 10.1155/2021/2571912

Yi Li , 1 Haitao Li,2 Chao Song , 3 Rongli Lu,1 Yuhao Zhao , 1 Fengyu Lin,1 Duoduo Han,1 Lingli Chen,1 Pinhua Pan , 1,4 and Minhui Dai “Early Prediction of Disease Progression in Patients with Severe Covid-19 Using C-Reactive Protein to Albumin Ratio” Volume 2021, Article ID 6304189, 11 pages https://doi.org/ 10.1155/2021/6304189

Martin Wiredu Agyekum , 1 Grace Frempong Afrifa-Anane , 2 Frank Kyei-Arthur , 2 and Bright Addo 3 “Acceptability of Covid-19 Vaccination among Health Care Workers in Ghana” Received 7 March 2021; Revised 31 March 2021; Accepted 9 April 2021; Published 20 April 2021 Volume 2021, Article ID 9998176, 8 pages https://doi.org/10.1155/2021/9998176

Abdul Hafeez,1 Shmmon Ahmad,1 Sameera Ali Siddqui,1 Mumtaz Ahmad,1 Shruti Mishra2 “A Review of Covid-19 (Coronavirus Disease-2019) Diagnosis, Treatments and Prevention” DOI: 10.14744/ejmo.2020.90853 EJMO 2020;4(2):116–125

Bharti Aggarwal Deepa Kapoor “A Study on Influence of Covid-19 pandemic on customer’s online buying behavior” Volume: I, Issue II, Dec. 2020 Page No-41-47

Niyati Agrawal & Hasna Ashraf 2 , Dvara Research “Covid-19 Impact on Daily Life (CIDL) Survey” Dvara Research | Research Brief | December 2020

Dr. Robin kabha, Dr. Ahmed Mostafa kamel, Dr. Moataz Elbahi, Dr. Abdu Mohamed Dawood Hafiz, Dr. Wided Dafri “Impact of fake news and myths related to Covid-19” Journal of Content, Community & Communication Amity School of Communication Vol. 12 Year 6, December - 2020 [ISSN: 2395-7514 (Print)

Hüsne Mehtap SÜT1, Behçet ÖZNAÇAR2 “Effects of Covid-19 period on educational systems and institutions” International Journal of Curriculum and Instruction 13(1) Special Issue (2017) 537–551

Yves Fassin1 “Research on Covid‑19: a disruptive phenomenon for bibliometrics" Scientometrics (2021) 126:5305–5319 https://doi.org/10.1007/s11192-021-03989-w Received: 6 January 2021 / Accepted: 1 April 2021 / Published online: 7 May 2021

Types of covid-19 related questions that were posed to the patients based on gender

Downloads

Published

10.02.2023

How to Cite

Venkataramanan, A. R. ., Kanimozhi, K. V. ., Valarmathia, K. ., Therasa, M. ., Hemalatha, S. ., Thangamani, M. ., & Gulati, K. . (2023). A Survey on Covid-19 & Its Impacts. International Journal of Intelligent Systems and Applications in Engineering, 11(3s), 129 –. Retrieved from https://ijisae.org/index.php/IJISAE/article/view/2550

Issue

Vol. 11 No. 3s (2023)

Section

Research Article

License

Creative Commons License

This work is licensed under a Creative Commons Attribution-ShareAlike 4.0 International License.

All papers should be submitted electronically. All submitted manuscripts must be original work that is not under submission at another journal or under consideration for publication in another form, such as a monograph or chapter of a book. Authors of submitted papers are obligated not to submit their paper for publication elsewhere until an editorial decision is rendered on their submission. Further, authors of accepted papers are prohibited from publishing the results in other publications that appear before the paper is published in the Journal unless they receive approval for doing so from the Editor-In-Chief.

IJISAE open access articles are licensed under a Creative Commons Attribution-ShareAlike 4.0 International License. This license lets the audience to give appropriate credit, provide a link to the license, and indicate if changes were made and if they remix, transform, or build upon the material, they must distribute contributions under the same license as the original.