Title:A Novel Work on Analyzing STRESS and Depression level of Indian
Population During COVID-19
Volume: 15
Issue: 6
Author(s): Amit Kumar Gupta*, Priya Mathur, Shruti Bijawat and Abhishek Dadhich
Affiliation:
- Department of Computer Science & Engineering, Amity School of Engineering & Technology, Amity University,
Jaipur, Rajasthan, India
Keywords:
COVID-19, depression, stress, mental state, DASS-21, Machine Learning, Multiple Linear regressions.
Abstract:
Objective: The world is facing the pandemic of COVID-19, which has led to a considerable
level of stress and depression in mankind as well as in society. Statistical measurements
can be made for early identification of the stress and depression level and prevention of the prevailing
stressful conditions. Several studies have been carried out in this regard. The Machine
learning model is the best way to predict the level of stress and depression in humankind by statistically
analyzing the behavior of humans which helps in the early detection of stress and depression.
This helps to prevent society from psychological pressures from any disaster like
COVID-19. COVID-19 pandemic is one of the public health emergencies that are of great international
concern. It imposes a great physiological burden and challenges on the population of the
country facing the calamity caused by this disease.
Methods: In this paper, the authors conducted a survey based on some questionnaires related to
depression and stress and used the machine learning approach to predict the stress and depression
level of humankind in the pandemic of COVID-19. The data sets were analyzed using the Multiple
Linear Regression Model. The predicted score of stress and depression was mapped into
DASS-21. The predictions have been made over different age groups, gender, and categories.
The machine learning model is the best way to predict the level of stress and depression in humans
by statistically analyzing their behavior which helps in the early detection of stress and
depression.
Results: Women, in general, were more stressed and depressed than men . Moreover, the people
who are 45+ years of age were found to be more stressed and depressed, including male and female
students. The overall analysis showed that the people of India were stressed and depressed
at “Serve” level due to COVID-19. It may be because students were more depressed about their
study and career, women were stressed about their business as well as their salary and aged people
were depressed due to their health concerns in COVID-19 disaster .
Conclusion: The researchers conducted an analysis of data based on DASS-21 parameters defined
for anxiety, depression, and stress at the global level. By the analysis defined in section 5,
researchers concluded that the people of India are more stressed and depressed at "Serve" level
due to COVID-19.
