Correlation and Causation in the Perspective of COVID-19: An Empirical Study on Canonical Correlation Analysis

Dasari Naga Vinod, Casper K. Lebekwe, Adamu Murtala Zungeru, D. Menaka

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

COVID-19 has an immense effect on the Globe, crossing 53,86,95,729 affected in more than 220 nations, with 63,18,093 individuals deceased. Various countries released COVID-19 protocols to enclose its spread to control the pandemic. This research article illustrates the Effect of COVID-19 on aged people (age>50), diabetes individuals, and individuals with smoking habits concerning the cause of death. An attempt has been made to identify the predominant variables for the cause of death due to COVID-19. IBM SPSS statistical tool enabled by Canonical Correlation Analysis (CCA) is used for simulation. Data were gathered from the Kaggle, an open repository for 2020. Based on the results obtained, predictions regarding the Cause and Effect of COVID-19 are discussed.

Original languageEnglish
Title of host publication2022 International Conference on Smart Applications, Communications and Networking, SmartNets 2022
PublisherInstitute of Electrical and Electronics Engineers Inc.
ISBN (Electronic)9781665487580
DOIs
Publication statusPublished - 2022
Event2022 International Conference on Smart Applications, Communications and Networking, SmartNets 2022 - Palapye, Botswana
Duration: Nov 29 2022Dec 1 2022

Publication series

Name2022 International Conference on Smart Applications, Communications and Networking, SmartNets 2022

Conference

Conference2022 International Conference on Smart Applications, Communications and Networking, SmartNets 2022
Country/TerritoryBotswana
CityPalapye
Period11/29/2212/1/22

All Science Journal Classification (ASJC) codes

  • Artificial Intelligence
  • Computer Networks and Communications
  • Computer Science Applications
  • Software
  • Information Systems and Management

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