Analysis Of Mental Health During COVID-19 Pandemic

Samrajyam Singu

Abstract


As a major virus outbreak in the 21st century, the Coronavirus disease 2019 (COVID-19) pandemic has led to unprecedented hazards to mental health globally. While psychological support is being provided to patients and healthcare workers, the general public's mental health requires significant attention as well. This systematic review aims to synthesize extant literature that reports on the effects of COVID-19 on the psychological outcomes of the general population and its associated risk factors.During the COVID-19 pandemic, the general population in China, Spain, Italy, Iran, the US, Turkey, Nepal, and Denmark reported relatively high rates of anxiety (6.33 percent to 50.9 percent), depression (14.6 percent to 48.3 percent), post-traumatic stress disorder (7 percent to 53.8 percent), psychological distress (34.43 percent to 38 percent), and stress (8.1 percent to 81.9 percent). Female gender, younger age group (40 years), the presence of chronic or psychiatric disorders, unemployment, being a student, and regular exposure to social media or news on COVID-19 are risk factors related with distress measures.

Keywords


Artificial Intelligence, CNN, Deep Learning, EEG Data, Feature extraction, Machine Learning, Neuroscience

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