A population-based nationwide dataset concerning the COVID-19 pandemic and serious psychological consequences in Bangladesh
This paper presents the dataset concerning knowledge, preventive behavior, psychological consequences, and suicidal behavior regarding the COVID-19 pandemic in Bangladesh. Data were collected through an online based cross-sectional survey between April 1 and April 10 in 64 districts at the early sta...
| Main Authors: | , , , , |
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| Format: | Article |
| Language: | English |
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Elsevier
2020-12-01
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| Series: | Data in Brief |
| Subjects: | |
| Online Access: | http://www.sciencedirect.com/science/article/pii/S2352340920315018 |
| _version_ | 1819078193194205184 |
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| author | Amir H. Pakpour Firoj Al Mamun Ismail Hosen Mark D. Griffiths Mohammed A. Mamun |
| author_facet | Amir H. Pakpour Firoj Al Mamun Ismail Hosen Mark D. Griffiths Mohammed A. Mamun |
| author_sort | Amir H. Pakpour |
| collection | DOAJ |
| description | This paper presents the dataset concerning knowledge, preventive behavior, psychological consequences, and suicidal behavior regarding the COVID-19 pandemic in Bangladesh. Data were collected through an online based cross-sectional survey between April 1 and April 10 in 64 districts at the early stage of the COVID-19 pandemic in Bangladesh. A total of 10,067 participants’ data were recruited for analysis. The survey contained items concerning (i) socio-demographic information, (ii) knowledge concerning COVID-19, (iii) behavior towards COVID-19, (iv) lockdown and economic issues, (v) assessment of fear of COVID-19, (vi) assessment of insomnia, (vii) assessment of depression, and (viii) assessment of suicidal ideation. Data were analyzed utilizing SPSS (version 22) and are represented as frequencies and percentages based on responses to the whole survey. Given that the data were collected across the whole nation, government authorities and healthcare policymakers can use the data to develop various models and/or policies regarding preventive strategies and help raise awareness through health education towards COVID-19. |
| first_indexed | 2024-12-21T19:09:12Z |
| format | Article |
| id | doaj.art-899495c735774302b2133e4141ea0be3 |
| institution | Directory Open Access Journal |
| issn | 2352-3409 |
| language | English |
| last_indexed | 2024-12-21T19:09:12Z |
| publishDate | 2020-12-01 |
| publisher | Elsevier |
| record_format | Article |
| series | Data in Brief |
| spelling | doaj.art-899495c735774302b2133e4141ea0be32022-12-21T18:53:14ZengElsevierData in Brief2352-34092020-12-0133106621A population-based nationwide dataset concerning the COVID-19 pandemic and serious psychological consequences in BangladeshAmir H. Pakpour0Firoj Al Mamun1Ismail Hosen2Mark D. Griffiths3Mohammed A. Mamun4Social Determinants of Health Research Center, Research Institute for Prevention of Non-Communicable Diseases, Qazvin University of Medical Sciences, Qazvin, Iran; Department of Nursing, School of Health and Welfare, Jönköping University, Jönköping, Sweden; Corresponding author at: Social Determinants of Health Research Center, Research Institute for Prevention of Non-Communicable Diseases, Qazvin University of Medical Sciences, Qazvin, Iran. and Department of Nursing, School of Health and Welfare, Jönköping University, Jönköping, SwedenCentre for Health Innovation, Networking, Training, Action and Research - Bangladesh, Dhaka, Bangladesh; Department of Public Health and Informatics, Jahangirnagar University, Savar, Dhaka, BangladeshCentre for Health Innovation, Networking, Training, Action and Research - Bangladesh, Dhaka, Bangladesh; Department of Public Health and Informatics, Jahangirnagar University, Savar, Dhaka, BangladeshInternational Gaming Research Unit, Psychology Department, Nottingham Trent University, Nottingham, United KingdomCentre for Health Innovation, Networking, Training, Action and Research - Bangladesh, Dhaka, Bangladesh; Department of Public Health and Informatics, Jahangirnagar University, Savar, Dhaka, Bangladesh; Corresponding author at: Centre for Health Innovation, Networking, Training, Action and Research - Bangladesh (CHINTA Research Bangladesh), Dhaka, Bangladesh.This paper presents the dataset concerning knowledge, preventive behavior, psychological consequences, and suicidal behavior regarding the COVID-19 pandemic in Bangladesh. Data were collected through an online based cross-sectional survey between April 1 and April 10 in 64 districts at the early stage of the COVID-19 pandemic in Bangladesh. A total of 10,067 participants’ data were recruited for analysis. The survey contained items concerning (i) socio-demographic information, (ii) knowledge concerning COVID-19, (iii) behavior towards COVID-19, (iv) lockdown and economic issues, (v) assessment of fear of COVID-19, (vi) assessment of insomnia, (vii) assessment of depression, and (viii) assessment of suicidal ideation. Data were analyzed utilizing SPSS (version 22) and are represented as frequencies and percentages based on responses to the whole survey. Given that the data were collected across the whole nation, government authorities and healthcare policymakers can use the data to develop various models and/or policies regarding preventive strategies and help raise awareness through health education towards COVID-19.http://www.sciencedirect.com/science/article/pii/S2352340920315018COVID-19KnowledgeBehaviorMental healthInsomniaSuicidal behavior |
| spellingShingle | Amir H. Pakpour Firoj Al Mamun Ismail Hosen Mark D. Griffiths Mohammed A. Mamun A population-based nationwide dataset concerning the COVID-19 pandemic and serious psychological consequences in Bangladesh Data in Brief COVID-19 Knowledge Behavior Mental health Insomnia Suicidal behavior |
| title | A population-based nationwide dataset concerning the COVID-19 pandemic and serious psychological consequences in Bangladesh |
| title_full | A population-based nationwide dataset concerning the COVID-19 pandemic and serious psychological consequences in Bangladesh |
| title_fullStr | A population-based nationwide dataset concerning the COVID-19 pandemic and serious psychological consequences in Bangladesh |
| title_full_unstemmed | A population-based nationwide dataset concerning the COVID-19 pandemic and serious psychological consequences in Bangladesh |
| title_short | A population-based nationwide dataset concerning the COVID-19 pandemic and serious psychological consequences in Bangladesh |
| title_sort | population based nationwide dataset concerning the covid 19 pandemic and serious psychological consequences in bangladesh |
| topic | COVID-19 Knowledge Behavior Mental health Insomnia Suicidal behavior |
| url | http://www.sciencedirect.com/science/article/pii/S2352340920315018 |
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