Does worriedness among the rural adults promote COVID-19 related awareness in Bangladesh?

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 [Formula: see text] knowledge about the proper amount of time for washing one's hands effectively [Formula: see text] rules of social distancing [Formula: see text] and education level [Formula: see text] with our outcome variable worriedness. From our binary logistic regression model fitting, it emerged that the females ([Formula: see text].032, OR [Formula: see text].729) who regularly wash their hands (0R [Formula: see text].393, [Formula: see text].023), know the rules of social distancing for “yes” (0R [Formula: see text] 14.525, [Formula: see text] .01), and “no” groups (0R [Formula: see text] 5.518, [Formula: see text] .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.