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Towards Understanding the Psychological Effects of the COVID-19 Pandemic on the Indian Population | IEEE Conference Publication | IEEE Xplore

Towards Understanding the Psychological Effects of the COVID-19 Pandemic on the Indian Population


Abstract:

This article explains the preliminary results of the analysis of a public survey carried out in India, assessing the psychological effects on people during the second wav...Show More

Abstract:

This article explains the preliminary results of the analysis of a public survey carried out in India, assessing the psychological effects on people during the second wave of the COVID-19 pandemic. A survey was designed to categorize the population on the basis of various socio-economic demographics and respondents were then asked to fill out the DASS-21 questionnaire to get their levels of severity of anxiety, depression and stress. The dataset obtained was then further analyzed using various classification machine learning models with the level of severity as the target variable and respondent’s attributes as independent variables. A Multinomial Logistic Regression was found to give the best results with an AUC score of 0.94 and was thus, used to predict the severity levels of these three categories, to find various insights from this publicly-sourced dataset. Additionally, the significance of the various socio-demographic attributes asked in the survey was analyzed in order to identify key drivers of mental ailments among the general Indian population. Further, a brief description of segmenting the population using K-Means clustering is provided which attempts to identify population groups that belong to similar socio-economic demographics and suffer from similar mental health issues during the pandemic. Thus, high-risk or high-severity groups can be identified and then could be targeted by the government to provide them relief schemes. This paper applies machine learning on a public dataset to explore the various facets of COVID-induced problems in the Indian Society.
Date of Conference: 13-16 December 2021
Date Added to IEEE Xplore: 25 January 2022
ISBN Information:
Conference Location: Pasadena, CA, USA

I. Introduction

The second wave of COVID-19 in India started in early April 2021 when there was a huge spike in number of the daily new cases and a highly unprecedented infectious coronavirus variant, B.1.617 was also identified. In early-May 2021, the number for new cases per day were above 350,000 (the greatest number of cases in a single day in 2020 were 98,000) and the number of deaths per day were above 3,500 which led to another nationwide lockdown. According to a study [1], one in seven Indians have mental disorders of varying severity and when combined with a huge shortage of medical facilities (ICU beds, testing and isolation centers, oxygen, etc.), crematoriums, and burial grounds during the second wave caused even more mental health challenges to the citizens of India and increased the intensity of negative psychological outcomes. Anxiety, depression, and post-traumatic stress were among the most common problems reported by callers to the government’s COVID mental health helpline during these times. [2].

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