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http://dspace.aiub.edu:8080/jspui/handle/123456789/917
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DC Field | Value | Language |
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dc.contributor.author | Billah, MD Masum | - |
dc.contributor.author | Dohan, Din | - |
dc.contributor.author | Sarker, Shaily | - |
dc.contributor.author | Tasnim, Afsara | - |
dc.contributor.author | Talukder, Bristy | - |
dc.date.accessioned | 2023-08-19T05:58:00Z | - |
dc.date.available | 2023-08-19T05:58:00Z | - |
dc.date.issued | 2022-03-10 | - |
dc.identifier.isbn | 78-1-4503-9734-6 | - |
dc.identifier.uri | http://dspace.aiub.edu:8080/jspui/handle/123456789/917 | - |
dc.description.abstract | The primary objective of this study is to determine the effect of the COVID-19 pandemic on a representative sample of Bangladeshi uni- versity students. The study conducted a cross-sectional ap proach including HADS (Hospital Anxiety and Depression Scale) and CAS (Coronavirus Anxiety Scale), obtaining sufficient data to evaluate the correlation between COVID- 19 Lockdown lifestyle and psychological impact on the students. The CAS (Coronavirus Anxiety Scale), Anxiety and Depression models were constructed to predict individuals’ psychotic state, and an indisputable interpre tation process has been consummated to assemble sufficient results. The study conducted an unequivocal evaluation to observe the cru cial socio and environmental factors associated with young age, low socioeconomic position, gender, scholastic lifestyle, immobility, solitary, academic and occupational impediments. | en_US |
dc.language.iso | en_US | en_US |
dc.publisher | ACM Digital Library | en_US |
dc.subject | COVID-19 | en_US |
dc.subject | University Student | en_US |
dc.subject | Pandemic | en_US |
dc.subject | Psychological Effect | en_US |
dc.subject | Data Analysis | en_US |
dc.subject | Machine Learning | en_US |
dc.subject | Prediction Model | en_US |
dc.title | Analyzing The Effect of COVID-19 on Mental Health based on Bangladeshi University Students | en_US |
dc.type | Article | en_US |
Appears in Collections: | Publications: Journals |
Files in This Item:
File | Description | Size | Format | |
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Mental_Health.pdf | 175.1 kB | Adobe PDF | View/Open |
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