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.
Keywords: COVID-19, depression, stress, mental state, DASS-21, Machine Learning, Multiple Linear regressions.
[http://dx.doi.org/10.1056/NEJMsa1413512] [PMID: 25992747]
[http://dx.doi.org/10.1016/S0140-6736(13)61611-6] [PMID: 23993280]
[http://dx.doi.org/10.1111/jcpp.12381] [PMID: 25649325]
[http://dx.doi.org/10.1016/j.jmii.2020.03.024] [PMID: 32253143]
[http://dx.doi.org/10.3310/hta14340-03] [PMID: 20630124]
[http://dx.doi.org/10.3390/ijerph16010163] [PMID: 30626156]
[http://dx.doi.org/10.1177/070674370705200406] [PMID: 17500305]
[http://dx.doi.org/10.15585/mmwr.mm6905e1] [PMID: 32027631]
[http://dx.doi.org/10.1016/S2215-0366(20)30046-8] [PMID: 32032543]
[http://dx.doi.org/10.3390/ijerph15071410] [PMID: 29973546]
[http://dx.doi.org/10.1186/s13011-019-0223-4] [PMID: 31533764]
[http://dx.doi.org/10.3390/jcm9020330] [PMID: 31991628]
[http://dx.doi.org/10.1016/j.jmii.2020.02.012] [PMID: 32173241]