RETRACTED ARTICLE: Forecasting major impacts of COVID-19 pandemic on country-driven sectors: challenges, lessons, and future roadmap

The pandemic caused by the coronavirus disease 2019 (COVID-19) has produced a global health calamity that has a profound impact on the way of perceiving the world and everyday lives. This has appeared as the greatest threat of the time for the entire world in terms of its impact on human mortality r...

Full description

Saved in:
Bibliographic Details
Published in:Personal and ubiquitous computing 2023-06, Vol.27 (3), p.807-830
Main Authors: Kumar, Saket, Viral, Rajkumar, Deep, Vikas, Sharma, Purushottam, Kumar, Manoj, Mahmud, Mufti, Stephan, Thompson
Format: Article
Language:English
Subjects:
Computer Science
Coronaviruses
COVID-19
Disease transmission
Employment
Mathematical models
Mobile Computing
Original Article
Pandemics
Personal Computing
Prediction models
Public health
User Interfaces and Human Computer Interaction
Viral diseases
Online Access:Get full text
Tags: Add Tag
No Tags, Be the first to tag this record!
Description
Summary:The pandemic caused by the coronavirus disease 2019 (COVID-19) has produced a global health calamity that has a profound impact on the way of perceiving the world and everyday lives. This has appeared as the greatest threat of the time for the entire world in terms of its impact on human mortality rate and many other societal fronts or driving forces whose estimations are yet to be known. Therefore, this study focuses on the most crucial sectors that are severely impacted due to the COVID-19 pandemic, in particular reference to India. Considered based on their direct link to a country’s overall economy, these sectors include economic and financial, educational, healthcare, industrial, power and energy, oil market, employment, and environment. Based on available data about the pandemic and the above-mentioned sectors, as well as forecasted data about COVID-19 spreading, four inclusive mathematical models, namely—exponential smoothing, linear regression, Holt, and Winters, are used to analyse the gravity of the impacts due to this COVID-19 outbreak which is also graphically visualized. All the models are tested using data such as COVID-19 infection rate, number of daily cases and deaths, GDP of India, and unemployment. Comparing the obtained results, the best prediction model is presented. This study aims to evaluate the impact of this pandemic on country-driven sectors and recommends some strategies to lessen these impacts on a country’s economy.
ISSN:1617-4909
1617-4917
DOI:10.1007/s00779-021-01530-7