Background Having inadequate health care systems and poor socio-economic infrastructure, Bangladesh has been braving to contain the impact of current COVID-19 pandemic since March, 2020. To curb the diffusion of COVID-19, the local government has responded to the outbreak by enforcing a set of restricted measures on economic and social activities across the country. Objectives Here, we aim to assess the propagation of COVID-19 by estimating the coronavirus active cases and mortality rate in two major business hubs of Bangladesh, namely Dhaka and Chittagong city under flexible lockdown conditions. Methods We apply a data-driven forecasting model using Susceptible, Exposed, Infected, Recovered and Deaths status through time to deal with coronavirus outbreak. Results The epidemiological model forecasts the dire consequences for Dhaka city with 2400 death cases at the end of December, 2020, whereas Chittagong city might experience 14% more deaths than Dhaka if the severe restrictions are not implemented to control the pandemic. Conclusion Although lockdown has a positive impact in reducing the diffusion of COVID-19, it is disastrous for human welfare and national economies. Therefore, a unidirectional decision by the policymakers might cost a very high price on either way for a lower-middle-income country, Bangladesh. In this study, we suggest a fair trade-off between public health and the economy to avoid enormous death tolls and economic havoc in Bangladesh.

This article attempts to measure the state of satisfaction of patients over the quality of health care as well as identify the crucial factors that affect the patients’ satisfaction in Upazila Health Complex (UHC). The quantitative approach was used following a structured questionnaire survey method. Four hundred visitors of 2 UHCs in Meherpur district were randomly selected as respondents for the study. The Statistical Package for Social Science IBM version 24 and R software (version 4.0.2) were used to run descriptive statistics, χ2 test, confirmatory factor analysis, and principal component analysis for quantitative data analysis. The data reveal that the overall satisfaction score is (2.75 ± 0.943). A 3-dimension model of service quality is found to have a significant relationship with patients’ satisfaction at the rural level. Care providers’ attitude and responsiveness in service delivery are found to be the most vital factor, while the tangibles and accessibility factors moderately influence the patient’s satisfaction on the service quality at UHCs.

Bangladesh has been combating the COVID-19 pandemic with limited financial resources and poor health infrastructure since March, 2020. Although the government has imposed several restricted measures to curb the progression of the outbreak, these arrays of measures are not sustainable in the long run. In this paper, we use a data-driven forecasting model considering susceptible, exposed, infected, recovered and deaths status through time to assess the impact of lift of flexible lockdown on the COVID-19 dynamics in Bangladesh. Our analysis demonstrates that the country might experience second infection peak in six to seven months after the withdrawal of current lockdown. Moreover, a prolonged restrictions until January, 2021 will shift the infection peak towards August, 2021 and reduce approximately 20% COVID-19 cases in Bangladesh.

Antibiotic resistance is a serious global health problem. This study endeavours to assess the current knowledge, attitude, and practice (KAP) regarding antibiotic usage among the rural people of Meherpur district, Bangladesh. This study followed quantitative approach and used social survey method to collect data from 399 respondents of Meherpur district. Results reveal that the respondents had a moderate knowledge of antibiotic usage but a negative attitude towards following the guideline and poor practice in using antibiotics made the situation worse for them. The findings of this study will help for the policymakers to develop the current awareness level of the rural people regarding antibiotic use and will provide a guideline for the improvement of current community clinics health-care providers’ efficiency on their service provision.

Bangladesh has been combating the COVID-19 pandemic with limited financial resources and poor health infrastructure since March, 2020. Although the government has imposed several restricted measures to curb the progression of the outbreak, these arrays of measures are not sustainable in the long run. In this study, we assess the impact of lift of flexible lockdown on the COVID-19 dynamics in Bangladesh. Our analysis demonstrates that the country might experience second infection peak in 6-7 months after the withdrawal of current lockdown. Moreover, a prolonged restriction until January, 2021 will shift the infection peak towards August, 2021 and will reduce approximately 20 % COVID-19 cases in Bangladesh.