Sleep Quality and Disturbance During the COVID-19 Pandemic in Bangladesh: A Survey Dataset

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Authors: Imrul Quais, Quazi Fariha Fairooz, Himika Tasnim, Afsana Begum, Imran Mahmud, Saif Hossain
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Abstract

This dataset captures the impact of the COVID-19 pandemic on sleep quality and related factors among individuals in Bangladesh. The COVID-19 pandemic significantly disrupted daily life worldwide, leading to notable changes in sleep patterns, increased prevalence of insomnia, and broader sleep-related problems that adversely affected mental and physical health. Data were collected using online self-report surveys from a total of 945 participants residing in Bangladesh (59.2% male, 40.8% female). The dataset includes demographic information and survey responses related to sleep quality and COVID-19-associated factors. Finally, this dataset is intended to support researchers, clinicians, and public health professionals in understanding COVID-19-related sleep disturbances and can be reused for statistical analysis, machine learning, and epidemiological research focused on pandemic-related mental and sleep health outcomes.

Fields of Study & Subjects

Sleep and related disorders COVID-19 and Mental Health Sleep and Work-Related Fatigue

Publication details

Journal / source
Mendeley Data
Publication date
4 February 2026
Document type
Dataset