A Survey on Prevention from Emerging Viruses

  IJCTT-book-cover
 
         
 
© 2021 by IJCTT Journal
Volume-69 Issue-4
Year of Publication : 2021
Authors : R Sanjay, Saarang G Rajan, Supraja C,Veena H, Dr Natesh M, Prof Vidya N L
DOI :  10.14445/22312803/IJCTT-V69I4P110

How to Cite?

R Sanjay, Saarang G Rajan, Supraja C,Veena H, Dr Natesh M, Prof Vidya N L, "A Survey on Prevention from Emerging Viruses," International Journal of Computer Trends and Technology, vol. 69, no. 4, pp. 54-62, 2021. Crossref, https://doi.org/10.14445/22312803/IJCTT-V69I4P110

Abstract
A small collection of genetic code, either DNA or RNA is known as virus, which will be surrounded by a protein coat. It cannot replicate alone. The data of the worldwide pandemic corona virus disease obtained from the World Health Organization made its impact to the world and has now infected millions of people across the world. Considering these situations, In the absence of highly effective drugs, vaccines many measures are used to manage the infection, the only feasible way to prevent from COVID-19 is to maintain Social Distance and by wearing Face Mask. Avoiding social contact might result in the reduction of spread of virus among people. The demand for travelling is expected to reduce and less usage of public transportation. Social distancing limits physical contact and might result in social isolation. It also assists in bringing down the interactions among people to slow down the spread of virus. To create safe environment around us, we propose a Real Time System which determine both social or physical distancing and protective face masks by deploying the model using raspberry pi in public places that can recognize the violations and monitor activity via cameras with the help of Artificial Intelligence and Machine Learning Algorithms

Keywords
Virus, COVID-19, Social Distancing, WHO, CDC, Face Mask, Artificial Intelligence, Machine Learning

Reference

[1] Leveraging Data Science To Combat COVID-19:A Comprehensive Review - Siddique Latif, Muhammad Usman, Sanaullah Manzoor, Waleed Iqbal, Junaid Qadir, Gareth Tyson, Ignacio Castro, Adeel Razi, Maged N. Kamel Boulos, Adrian Weller, Jon Crowcroft.
[2] Active Surveillance for COVID-19 Through Artificial Intelligence Using Real-Time Speech-Recognition Mobile Application - Mohammad Zafar Iqbal* and Md Faiz Iqbal Faiz**, Member, IEEE *Department of Urology, North Eastern Indira Gandhi Regional Institute of Health and Medical Sciences, India **ECE Department, North Eastern Regional Institute of Science and Technology, India
[3] COVID-19 Preliminary Patient Filtering based on Regular Blood Tests using Auto-Adaptive Artificial Intelligence Platform - Zoltan Czako, Gheorghe Sebestyen, Anca Hangan.
[4] Fuzzy Rule-Based System for Predicting Daily Case in COVID-19 Outbreak - Pnar Cihan
[5] Covid-19: automatic detection from X-ray images utilizing transfer learning with convolutional neural networks - Ioannis D. Apostolopoulos, Tzani A. Mpesiana
[6] Prediction of COVID-19 Cases Using CNN with X-rays - Dr D.Haritha, N. Swaroop,M. Mounika
[7] Computational Intelligence Techniques for Combating COVID-19: A Survey - Vincent S. Tseng, Josh Jia-Ching Ying, Stephen T.C. Wong, Diane J. Cook ,Jiming Liu
[8] Detection of virus using Artificial Intelligence and Machine learning concepts – Sai Harsha Vardhan A.V.N, Akash Ranjan
[9] Monitoring Social Distancing for Covid-19 Using OpenCV and Deep Learning - Rucha Visal1, Atharva Theurkar2, Bhairavi Shukla3
[10] Considerations relating to social distancing measures in response to COVID-19 – second update (Article) - European Centre for Disease Prevention and Control, Stockholm, 2020.
[11] A Comprehensive Survey of Enabling and Emerging Technologies for Social Distancing — Part I: Fundamentals and Enabling Technologies- by Cong T. Nguyen, Yuris Mulya Saputra, Nguyen Van Huynh), Ngoc- Tan Nguyen, Tran Viet Khoa 6, Bui Minh Tuan 6, Diep N. Nguyen, Dinh Thai Hoang.
[12] Using Computer Vision to enhance Safety of Workforcein Manufacturing in a Post COVID World - Prateek Khandelwal, Anuj Khandelwal, Snigdha Agarwal, Deep Thomas, Naveen Xavier, Arun Raghu raman
[13] Deep Learning based Safe Social Distancing and Face Mask Detection in Public Areas for COVID-19 Safety Guidelines Adherence - Shashi Yadav, DOI: 10.22214/ijraset.2020.30560
[14] Impact of Wearing Masks, Hand Hygiene, and Social Distancing on Influenza, Enterovirus, and All- Cause Pneumonia During the Coronavirus Pandemic:Retrospective National Epidemiological Surveillance Study -Chien-Yu Lin, MD
[15] Factors impacting social distancing measures for preventing coronavirus disease 2019 [COVID- 19]: A systematic review - Krishna Regmi, Cho Mar Lwin
[16] Prediction and prevention of the next pandemic zoonosis - Stephen S Morse, Jonna A K Mazet, Mark Woolhouse, Colin R Parrish, Dennis Carroll, William B Karesh, Carlos Zambrana-Torrelio, W Ian Lipkin, Peter Daszak
[17] Face Masks Against COVID-19: An Evidence Review - Jeremy Howarda, c,1, Austin Huong, Zhiyuan Lik, Zeynep Tufekcim, Vladimir Zdimale, Helene-Mari van der Westhuizenf, g, Arne von Delfto, g, Amy Pricen, Lex Fridmand, Lei-Han Tangi,j , Viola Tangl , Gregory L. Watsonh , Christina E. Baxs , Reshama Shaikhq, Frederik Questierr , Danny Hernandezp , Larry F. Chun , Christina M.Ramirezh , and Anne W. Rimoint
[18] Real-time social distancing detector using SocialdistancingNet19 deep learning network - Rinkal Keniya and Ninad Mehendale
[19] Adversarial Examples – Security Threats to COVID-19 Deep Learning Systems in Medical IoT Devices - Md. Abdur Rahman, Senior Member, IEEE and M. Shamim Hossain, Senior Member, IEEE, Nabil A. Alrajeh, Fawaz Alsolami
[20] The effect of control strategies to reduce social mixing on outcomes of the COVID-19 epidemic in Wuhan, China: a modelling study - Kiesha Prem, Yang Liu, Timothy W Russell, Adam J Kucharski, Rosalind M Eggo, Nicholas Davies, Centre for the Mathematical Modelling of Infectious Diseases COVID- 19 Working .
[21] The Visual Social Distancing Problem - MARCO CRISTANI (Member, IEEE), ALESSIO DEL BUE (Member, IEEE), VITTORIO MURINO (Senior Member, EEE), FRANCESCO SETTI (Member, IEEE), AND ALESSANDRO VINCIARELLI (Member, IEEE) Digital Object Identifier 10.1109/ACCESS.2020.3008370
[22] A novel coronavirus epidemic of global concern for health. It`s the Lancet -Wang Chen, Horby Peter W, Hayden Frederick G, Gao George F.
[23] Multi-view face recognition using deep convolutional neural networks - S. S. Farfade, M.J. Saberian, and L. Li. In ACM ICMR, pages 643– 650, 2015
[24] PSRCNN: Detecting secondary human instances in a crowd via primary object suppression, - Z. Ge, Z. Jie, X. Huang, R. Xu, and O. Yoshie. arXiv:2003.07080. Available: http://arxiv.org/ abs/2003.07080
[25] A. Kendon, Conducting Interaction: Patterns of Behavior in Focused Encounters. Cambridge, U.K.: Cambridge Univ. Press, 1990.