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Bangladesh’s education sector has been in a state of flux since COVID-19. During the pandemic, all university campuses were closed. There was a mental health issue among the students. This study aims to examine the mental health condition and the determinants that contribute to adverse mental health conditions among university students of Bangladesh. A survey was performed online among university students in Bangladesh, in mid-June 2020 when averaging 3345 affected cases of the population daily. The convenience sampling technique was used and the survey gathered data from 365 university students. The relationship between general information and Depression, Anxiety, and Stress Scale 21 (DASS-21) subscales of university students was determined. The questionnaire was administered to respondents during the pandemic, which ensured fast replies. Linear regression models were used for statistical analysis. University students indicated normal levels of depression (30.41%), anxiety (43.29%), and stress (47.40%). However, a disproportionate number of extremely depressed, anxious, and stressed university students suggested a mental health status of concern. There were significant connections between the individual’s opinion of social satisfaction, mental health concerns, and the present location’s safety with an undesirable mental health condition. Female students were shown to be much more anxious and stressed than male students. Capital Dhaka city students were more depressed and anxious than students outside of Dhaka. Financial and psychological support for students may help mitigate the psychological impact. Authorities should make effective efforts to reduce mental health problems among these students. This research may aid organizations, health care providers, and social workers in their attempts to prepare for and respond to pandemics.

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This study aims to assess people’s preparedness for a potential earthquake in Dhaka, the capital of Bangladesh. We have employed a model with six dimensions of holistic individual preparedness. A self-reported online survey included 677 total participants. The multiple linear regression model and the Spearman rank correlation were used as needed. The majority of the participants (> 65%) did not have experience with any earthquake preparedness program, despite the fact that 92% of the population surveyed claimed to have experienced an earthquake in their region. More than 50% of those who experienced earthquakes acquired knowledge. 30% of people do not have access to immediate financial support in the event of a crisis. It was estimated that almost 50% of the population did not have earthquake insurance. Females lack the adaptability of males. A person’s level of earthquake preparedness was significantly associated with their level of education, household head occupation and monthly income, type of residential unit, and experience of earthquake preparedness program. Therefore, these factors should be considered while figuring out how to better prepare for earthquakes. A combination of holistic earthquake preparedness programs and effective education is generally required for competent holistic earthquake preparedness.

People living in urban areas are usually more aware of their health issues due to the availability and accessibility of health care facilities. Several studies have illustrated anxiousness, attitudes, and perceptions among urban people during COVID-19. This research attempted to assess how worriedness among rural adults may promote COVID-19 related awareness in Bangladesh. A cross-sectional online survey of 311 respondents aged 18 or greater was conducted through Facebook focusing only on the people living in rural areas. The survey included a consent form and requested demographic as well as pandemic related information in a three-section questionnaire from the respondents. We used the chi-square test statistic for bivariate analysis and the binary logistic regression model along with some tools to validate the model to analyze the impact of worriedness on awareness. The bivariate result showed a significant association among regular hand washing knowledge about the proper amount of time for washing one's hands effectively rules of social distancing and education level with our outcome variable worriedness. From our binary logistic regression model fitting, it emerged that the females ( .032, OR .729) who regularly wash their hands (0R .393, .023), know the rules of social distancing for “yes” (0R 14.525, .01), and “no” groups (0R 5.518, .01), and age groups (18–27, 28 to 37, 38 to 47) were more worried. Results from our modeling justify an accuracy of 73.08%, a sensitivity of 93.71%, and a specificity of 29.33% with Cohen's kappa statistic = .2716, suggesting a fair model fitting. This study shows that the current COVID-19 situation created awareness among females and adults aged between 18 to 47 years in rural Bangladesh.