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1.
Cyber-Physical Systems: AI and COVID-19 ; : 219-230, 2022.
Article in English | Scopus | ID: covidwho-2048748

ABSTRACT

The sudden outbreak of the virus COVID-19 has created a pandemic situation worldwide. Humankind has not experienced such a danger caused by this disease in the past hundred years. Apart from all the health issues, the pandemic has created an immense impact on social life, economics, mental peace, and all aspects of human life. Prolonged quarantine is creating uncertainties;death tolls are creating fear. According to the World Health Organization, this public health emergency is likely to create anxiety, loneliness, depression, fear of losing jobs, being economically unstable, and committing suicide. In our present discussion, we prepare a statistical record using data collected from all over the world to find the intensity of mental disorder caused by this pandemic. Now we aim at finding the polarity of the specified term used by social media users. We aim to formulate a highly efficient mechanism that will detect depressive sentences more accurately. In our work, we try to formulate an optimal mechanism implementing the Latent Dirichlet Allocation approach to modify our findings and prove through a comparative study that depression affects the highest among people age 40−50. We experience that this age group is highly devastated in fear of losing jobs because of to this pandemic. The standard psychiatric symptom of lack of self-dignity and self-confidence that can happen to a human at the middle age is proliferated due to extended lockdown and its after effects. There is much research in sentiment analysis, which shows us the impact of COVID-19 in recent days. Surprisingly, recognizing symptoms of the midlife crisis in the pandemic situation of COVID-19 is yet to achieve. © 2022 Elsevier Inc. All rights reserved.

2.
Perspect Psychol Sci ; 16(6): 1435-1446, 2021 11.
Article in English | MEDLINE | ID: covidwho-1325255

ABSTRACT

We write in response to an article published in this journal, "The U Shape of Happiness Across the Life Course: Expanding the Discussion," by Galambos, Krahn, Johnson and Lachman. The authors claim that "support for the purported U shape is not as robust and generalizable as is often assumed" and "we believe the conclusion that happiness declines from late adolescence to midlife (the first half of the U shape) is premature, and possibly wrong." We respectfully disagree. The authors' main evidence is based on summaries of 33 articles; they find 12 to have U shapes, seven to have none, and 14 to be mixed. We found that most of these articles are misclassified: Four of them are ineligible for inclusion, 25 find a U, and four are mixed. We then identified a further 353 articles, including 329 in peer-reviewed journals, that all found U shapes that were not identified in the literature review. This is a major omission. We also present our own evidence of midlife nadirs in well-being using around eight and a half million individual observations from nationally representative surveys for the United States and Europe. The midlife low occurs in the mid-40s and its drop is equivalent to roughly three quarters of the unprecedented drop observed in well-being during the COVID-19 pandemic.


Subject(s)
COVID-19 , Happiness , Adolescent , Humans , Pandemics , Personal Satisfaction , SARS-CoV-2 , United States
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