Six sigma DMAIC approach based mobile application for statistical analysis of COVID-19 data

Purpose>Coronavirus disease 2019 is one of the novel diseases formed by a dreadful virus called Severe Acute Respiratory Syndrome Coronavirus 2. Various countries are affected by this viral disease, and many countries declare a lockdown with several rules and conditions. To prevent this rapid vir...

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Published inInternational journal of pervasive computing and communications Vol. 18; no. 3; pp. 347 - 364
Main Authors Nagarajaiah, Kavyashree, Chandramouli, Supriya Maganahalli, Lokesh Malavalli Ramakrishna
Format Journal Article
LanguageEnglish
Published Bingley Emerald Group Publishing Limited 23.06.2022
Subjects
Applications programs
Coronaviruses
COVID-19 vaccines
Disease transmission
Epidemiology
Fatalities
Global positioning systems
GPS
Health care
Immunization
Infections
Literature reviews
Mathematical models
Mobile communications networks
Mobile computing
Mortality
Pandemics
Patient satisfaction
Privacy
Quarantine
Respiratory diseases
Severe acute respiratory syndrome
Six Sigma
Statistical analysis
Viral diseases
Viruses
India
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Summary:Purpose>Coronavirus disease 2019 is one of the novel diseases formed by a dreadful virus called Severe Acute Respiratory Syndrome Coronavirus 2. Various countries are affected by this viral disease, and many countries declare a lockdown with several rules and conditions. To prevent this rapid viral transmission, various researchers have introduced different mobile applications. This paper aims to study issues like viral transmission, mortality rates, vaccination rates, etc. and also provides suitable solutions based on the statistical analysis with the assistance of the Six-Sigma Define-Measure-Analyse-Improve-Control (DMAIC) concept.Design/methodology/approach>Statistical analysis is done for different countries, and the required solutions are provided by using the DMAIC procedure. This application has the ability to represent the current risk status of the user and notify them to secure themselves.Findings>The proposed work suggests the Aarogya Setu application to prevent large viral transmission by affording many preventive measures. This application also issues the current risk status of each individual user. Hence, it gives improved results in avoiding high viral transmission.Originality/value>The proposed six-sigma DMAIC concept also affords the control measures to prevent viral transmission. Hence, the suggested application has the highest chance of avoiding the rapid viral transmission.
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ISSN:1742-7371
1742-738X
DOI:10.1108/IJPCC-02-2022-0053