UGC Approved Journal no 63975(19)
New UGC Peer-Reviewed Rules

ISSN: 2349-5162 | ESTD Year : 2014
Volume 13 | Issue 10 | October 2026

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Volume 13 Issue 10
October-2026
eISSN: 2349-5162

UGC and ISSN approved 7.95 impact factor UGC Approved Journal no 63975

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Published Paper ID:
JETIR2610124


Registration ID:
586991

Page Number

b225-b242

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Title

BIG DATA ANALYTICS FOR COVID-19: DATA VISUALIZATION, TREND ANALYSIS, AND MACHINE LEARNING APPLICATIONS

Abstract

The COVID-19 pandemic generated large volumes of epidemiological data that can be analyzed to understand disease trends, monitor reported cases, and support public-health decision-making. This study examines the application of big data analytics, data visualization, and machine-learning techniques to historical COVID-19 data. The analysis uses a dataset containing reported confirmed cases, deaths, and recoveries across countries and regions. Descriptive analysis and visualization are used to examine changes in reported cases over time, while mortality and recovery proportions are calculated to summarize selected epidemiological indicators. The study also discusses the potential applications of machine learning in case prediction and pandemic monitoring. However, the reliability of these analyses depends on data completeness, consistency in reporting, and the suitability of the analytical methods. The limitations of simple linear regression for representing complex epidemic trends are also considered. This study highlights the importance of transparent data preprocessing, appropriate model evaluation, and careful interpretation of epidemiological indicators when applying data analytics to pandemic-related research.

Key Words

Big data analytics, COVID-19, data visualization, epidemiological data, machine learning, mortality analysis, time-series analysis

Cite This Article

" BIG DATA ANALYTICS FOR COVID-19: DATA VISUALIZATION, TREND ANALYSIS, AND MACHINE LEARNING APPLICATIONS", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.13, Issue 10, page no.b225-b242, October-2026, Available :http://www.jetir.org/papers/JETIR2610124.pdf

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2349-5162 | Impact Factor 7.95 Calculate by Google Scholar

An International Scholarly Open Access Journal, Peer-Reviewed, Refereed Journal Impact Factor 7.95 Calculate by Google Scholar and Semantic Scholar | AI-Powered Research Tool, Multidisciplinary, Monthly, Multilanguage Journal Indexing in All Major Database & Metadata, Citation Generator

Cite This Article

" BIG DATA ANALYTICS FOR COVID-19: DATA VISUALIZATION, TREND ANALYSIS, AND MACHINE LEARNING APPLICATIONS", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.13, Issue 10, page no. ppb225-b242, October-2026, Available at : http://www.jetir.org/papers/JETIR2610124.pdf

Publication Details

Published Paper ID: JETIR2610124
Registration ID: 586991
Published In: Volume 13 | Issue 10 | Year October-2026
DOI (Digital Object Identifier):
Page No: b225-b242
Country: -, -, India .
Area: Engineering
ISSN Number: 2349-5162
Publisher: IJ Publication
Published Paper URL :: https://www.jetir.org/view?paper=JETIR2610124
Published Paper PDF: https://www.jetir.org/papers/JETIR2610124

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