Preprint Article Version 1 Preserved in Portico This version is not peer-reviewed

Impact Based on Quarantine Psychology: Analysis of Left and Right Brain Hemispheres

Version 1 : Received: 3 June 2021 / Approved: 8 June 2021 / Online: 8 June 2021 (09:49:42 CEST)

How to cite: Sar, A.; Kaur, J.; Jindal, M.K.; Prasad, K. Impact Based on Quarantine Psychology: Analysis of Left and Right Brain Hemispheres. Preprints 2021, 2021060205 (doi: 10.20944/preprints202106.0205.v1). Sar, A.; Kaur, J.; Jindal, M.K.; Prasad, K. Impact Based on Quarantine Psychology: Analysis of Left and Right Brain Hemispheres. Preprints 2021, 2021060205 (doi: 10.20944/preprints202106.0205.v1).

Abstract

Brain, the most complex object known in the universe, uses few watts of power. To mimic it a nuclear power plant will be required and this power house controls the human body, single handedly. Surprisingly, “On the left side, nothing is right and on the right side there is nothing left”. Typically, there are two lateral halves of the brain: Left hemisphere and right hemisphere working distinctly. Left hemisphere is inclined towards logic; Right hemisphere is the root cause of imagination added with critical thinking. In situations like the current pandemic, COVID-19, it is the right half which tends to dominate the processing. This gives birth to mental stress, anxiety thus, aggravating the existing medical condition. Considering this pattern, a survey was conducted in Durg district of Chhattisgarh, which is one of the most hard hit epicentre of the COVID-19 second wave in India. According to this survey, it was revealed that largely women of all age groups (10-25, 26-40, 40 above) were right brained i.e. dominance of right over left hemisphere. Being more imaginative and creative thinkers they are more likely to suffer from mental issues than males. The aim of this research is to improve the mental wellbeing of the citizens in such threatening conditions. To prevent this situation awareness is a must and some stress relieving games have also been created.

Subject Areas

Mental Health; Machine Learning; Modern Imaging Techniques; Psychogenic fever; rheumatic; Classifier

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