Pakpour Amir H, Al Mamun Firoj, Hosen Ismail, Griffiths Mark D, Mamun Mohammed A
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.
Data Brief. 2020 Dec 5;33:106621. doi: 10.1016/j.dib.2020.106621. eCollection 2020 Dec.
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.
本文展示了关于孟加拉国新冠疫情的知识、预防行为、心理影响及自杀行为的数据集。数据通过在2020年4月1日至4月10日期间，在孟加拉国新冠疫情早期对64个地区进行的一项基于网络的横断面调查收集。总共招募了10067名参与者的数据用于分析。该调查包含以下方面的问题：（i）社会人口统计学信息；（ii）关于新冠病毒的知识；（iii）对新冠病毒的行为；（iv）封锁与经济问题；（v）对新冠病毒恐惧的评估；（vi）失眠评估；（vii）抑郁评估；（viii）自杀意念评估。数据使用SPSS（版本22）进行分析，并根据对整个调查的回答以频率和百分比表示。鉴于数据是在全国范围内收集的，政府当局和医疗保健政策制定者可以利用这些数据来制定有关预防策略的各种模型和/或政策，并通过针对新冠病毒的健康教育来提高认识。
