Data Science Applications of Post-COVID-19 Psychological Disorders (eBook, PDF)
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The COVID-19 epidemic has thrown the globe into chaos as governments struggle to contain the virus''s spread. While considerable attention has been paid to health problems, reports of the social-psychological impacts of this pandemic are on the increase, ranging from mental distress and personal disputes to racial assaults and patriotic behaviors. Moreover, these social-psychological impacts may have long-term repercussions that will likely outlast the epidemic. Globally, the physical impacts of COVID-19 may be felt. The influence of Post-COVID-19 on mental health is a subject that has not bee...
The COVID-19 epidemic has thrown the globe into chaos as governments struggle to contain the virus''s spread. While considerable attention has been paid to health problems, reports of the social-psychological impacts of this pandemic are on the increase, ranging from mental distress and personal disputes to racial assaults and patriotic behaviors. Moreover, these social-psychological impacts may have long-term repercussions that will likely outlast the epidemic. Globally, the physical impacts of COVID-19 may be felt. The influence of Post-COVID-19 on mental health is a subject that has not been well explored. The reaction to the Covid-19 pandemic may resemble the response to natural catastrophes or other comparable catastrophic occurrences affecting a community and may create chronic anguish in the afflicted population. The psychological reaction to the Covid-19 epidemic has been immediately recorded; in communities rarely affected, it resembles symptoms of post-traumatic stress disorder (PTSD). The unfavorable psychological effects of COVID-19, such as anxiety and depression, have been widely expected but have not yet been precisely quantified. Data science enables academics to evaluate the past and future consequences of mental diseases on the United States and worldwide populations. When the consequences are defined and substantiated by statistics, the argument for allocating much-needed resources to mental health research and treatment accessibility is strengthened. Using data science approaches, the book contains chapters describing the influence of post-COVID-19 psychological impacts.
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