Big Data Analytics on Irritating Anxiety of Long COVID

Jacob, Vinumon and Prakash, M. (2024) Big Data Analytics on Irritating Anxiety of Long COVID. In: UNSPECIFIED.

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Abstract

Big data and its analytics can perform in different areas of human society. The aim of this paper is to produce the irritating anxiety of Long COVID from different age groups of persons in Kottayam district, Kerala state, India. Using different communication methods persons can deeply contact and can discuss the matters in rapid way. In 2020, COVID-19 disease spread in the world by physical contacting, initially from neighbor contacts and it spread all over the world. The communication systems communicate the pandemic situation and discuss various treatment methods in appropriate time. Apart from vaccination mind power and immunity power attained by the humans through trained personals as advice and physical exercise. All these are fully favored during that time and the humans had overcome the situation. But in after some years the anxiety is existing in human mind about the virus and vaccination with its side effects. The feel of the disease after COVID-19 is based on the early affected Corona virus and this virus still existing in human body. Newly formed diseases have the same symptoms of COVID-19 and the humans are afraid about the presence of Corona virus. By an evaluation of different age group of persons in a district, they have a faith, that is, Corona virus generating different impact in human mind and that will lead to anxiety in human mind. © 2025 Elsevier B.V., All rights reserved.

Item Type: Conference or Workshop Item (Paper)
Subjects: Psychology > Psychology
Divisions: Arts and Science > Vinayaka Mission's Kirupananda Variyar Arts & Science College, Salem > Computer Science
Depositing User: Unnamed user with email techsupport@mosys.org
Last Modified: 27 Nov 2025 06:42
URI: https://vmuir.mosys.org/id/eprint/1723

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