A population-based nationwide dataset concerning the COVID-19 pandemic and serious psychological consequences in Bangladesh
Amir H. Pakpour,
Firoj Al Mamun,
Ismail Hosen,
Mark D. Griffiths,
Mohammed A. Mamun
Affiliations
Amir H. Pakpour
Social 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, Sweden
Firoj Al Mamun
Centre for Health Innovation, Networking, Training, Action and Research - Bangladesh, Dhaka, Bangladesh; Department of Public Health and Informatics, Jahangirnagar University, Savar, Dhaka, Bangladesh
Ismail Hosen
Centre for Health Innovation, Networking, Training, Action and Research - Bangladesh, Dhaka, Bangladesh; Department of Public Health and Informatics, Jahangirnagar University, Savar, Dhaka, Bangladesh
Mark D. Griffiths
International Gaming Research Unit, Psychology Department, Nottingham Trent University, Nottingham, United Kingdom
Mohammed A. Mamun
Centre 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.
