Predicting Sleep Disturbance During Covid-19 in Bangladesh

Abstract

The COVID-19 virus is now considered a hot topic among researchers around the world. Globally, the COVID-19 pandemic has had a serious impact on human life since it began. As a result of this virus, sleeping patterns have changed dramatically and the prevalence of insomnia has increased. Both mental and physical health have been negatively affected. In this thesis study, it discusses the effect of COVID-19 that influences people highly and the factors which are mostly responsible for these problems. The sample is recruited from the Bangladesh using online self-report measures where (n = 945, 59.2% Male, 40.8% female). Here the ANN (MLP) & LR has been used for analysis of the research and different types of difference has been showed between this two Algorithms with their statistical analysis. Statistical analysis was done in Microsoft excel office and SPSS. But ANN (MLP) which provides best optimal result for the dataset. This study will help the medical professionalisms & clinicians to get an overview about the Covid19 factors impact during this long period and the statistical amount of the effect.