A Novel Work on Analyzing STRESS and Depression level of Indian Population During COVID-19

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Author(s): Amit Kumar Gupta, Priya Mathur*, Shruti Bijawat, Abhishek Dadhich

Journal Name: Recent Advances in Computer Science and Communications
Formerly Recent Patents on Computer Science


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Abstract:

Objective: The world is facing the pandemic situation of COVID-19 which leads to a large level of stress and depression on mankind as well on society. Static measurements can be conducted for early identification of the stress and depression level and diagnose or preventing from the effect of these 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 of humankind by statistically analyzing the behavior of humankind which helps to the early detection of stress and depression. This helps to prevent society from psychological pressures from any disaster like COVID-19. The COVID-19 pandemic is one of the public health emergencies which are of great international concern. It imposes a great physiological burden and challenges on the population of the country facing the disaster caused by this disease.

Methods: In this paper, the authors have surveyed by defining some questionnaires related to depression and stress and used the machine learning approach to predict the stress and depression level of humankind in the situation COVID19The data sets are analyzed using the Multiple Linear Regression Model. The predicted score of stress and depression is 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 of humankind by statistically analyzing the behavior of humankind which helps the early detection of stress and depression.

Results: Females are more stressed and depressed than males. The people who are 45+ years age are more stressed and depressed. The male and female students are more stressed and depressed. The overall analysis said that the peoples of India are stressed and depressed at the level of “Serve” due to COVID-19. This can because of a student’s career concerning their study and examination. The females who feel so much burden of business as well as their salary. The aged people are depressed due to COVID-19 disaster.

Conclusion: This research given very big support to understand our objectives. We have also implemented our analysis of data based on DASS-21 parameters defined for the Anxiety, Depression, and stress at the world level. By the analysis defined in section 5 we conclude that the people of India are more stressed and depressed at the level of "Serve" due to COVID-19.

Keywords: COVID-19, depression, stress, mental state, DASS-21, Machine Learning, Multiple Linear regressions.

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Article Details

(E-pub Ahead of Print)
DOI: 10.2174/2666255813999201022113918
Price: $95

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