Open AccessA SURVEY ON DATA ANALYSIS APPROACH FOR EFFECTIVE CONTAINMENT TOWARDS PANDEMIC INFECTIONS USING NEURAL NETWORKS
Author(s) -
Anix Mary Javitha. A,
Mary Livinsa. Z
Publication year - 2021
Publication title -
epra international journal of multidisciplinary research
Language(s) - English
Resource type - Journals
ISSN - 2455-3662
DOI - 10.36713/epra7553
Subject(s) - pandemic , containment (computer programming) , artificial neural network , computer science , covid-19 , risk analysis (engineering) , patience , artificial intelligence , operations research , data science , infectious disease (medical specialty) , engineering , business , psychology , medicine , disease , pathology , programming language , social psychology
This Covid-19 is a new pandemic infectious era for our human life, in order to deal with it in proper manner, the necessity and importance of data analysis research reports, models, approaches are of the basic requirements for our sustainable, patience and stress less future. Neural network model organization and development with proper incorporation of pandemic condition parameters with maximum level of accuracy and efficiency are the main issues related with data analysis in pandemic infection containment. The implementation of neural networks techniques associated with data analysis approaches will be the best combination in this research area in near future.KEYWORDS— Neural networks, Covid-19, Pandemic ,Data analysis, Containment.