In an unprecedented way, COVID-19 patients in Bangladesh have suffered greatly due to the severity of the complications. Additionally, treatment management was also a grave concerning issue. This study explored the extent of COVID-19 complications associated with the pattern of COVID-19 Prevention and Treatment Management in the context of Bangladesh. This cross-sectional study included 659 COVID-19-positive patients aged 18 and up who were treated at home or in hospitals and lived in Dhaka city From April to September 2021. The results showed that 20.5% had a mild COVID-19 infection. Family income, the number of co-morbidities, and the location of therapy were found to have a substantial impact on recovery time. In addition, there were high correlations between age, the number of co-morbidities, level of education, and the place of treatment with the severity of Covid-19 infection. The government should place a greater emphasis on training and resources to ensure efficient hospital management and widespread public knowledge as a precaution for further phenomena like COVID-19.

In the capital city of Dhaka, males are being prompted to urinate or defecate in public areas due to a lack of access to public toilets. Therefore, the goal of the study was to determine how the structural, social, and hygienic environments affected people's ability to utilize public toilets in Dhaka. This cross-sectional qualitative study was done in Dhaka between November 2016 and January 2017, with data collected from 29 public toilets located around the city's north and south parts. In order to collect data, semi-structured checklists for observing the current structural, social and Hygiene state of public toilets were utilized. There are 237 public toilets in the city that are operational, including Dhaka City Corporation -authorized and non-governmental public toilets. Due to the lack or inaccessibility of the nearest public toilet, residents in the city are accustomed to accessing the nearest restricted bathrooms such as Mosques, Filling stations, hospitals, and so on. Furthermore, the floor materials in all of the toilets were found to be slippery, and degradation of the roof, doors, windows, and interior walls of public toilets was a typical occurrence. In the public toilets we observed, poor supervision was also common. Most of the restrooms analyzed do not have a "Women Section," and several restrooms are famous for the crowding of onlookers, especially near the women's block. Although there are uncomfortable structural, sociological, and hygiene issues as well as unhygienic conditions in public toilets of Dhaka city, the authorities take the situation lightly.

This study aims to investigate the relationship between parental bonding and parent-child relationships among college-going adolescents. A scale suggested by Robert C. Pianta (1992) was used in this quantitative, cross-sectional study with a descriptive design. Among 1000 students of Chattogram Biggan College and Chattogram Commerce College in Chattogram, Bangladesh, 101 individuals were selected. The demographic profile of the participants; 46% of the respondents were male and 54% were female, all of them were aged between 17 to 19. Regarding feelings about spending time with parents, it was discovered that 62.4% of the total 101 participants are delighted with their mother, while 49% are very happy with their father. While 5.9% and 3% of participants are unhappy and very unhappy with their mothers, just 3.5% of the total participants are unhappy with their fathers. While a significant proportion (almost 40%) have a strong bond with their mother. On the other hand, over three-quarters of respondents have disagreements with their fathers' proximity and dependence, according to the research. While a sizable proportion (about 30%) have a strong bond with their father. Whereas over 40% of respondents calculated overall intimacy with their father was low, and nearly 30% with their mother, the remaining respondents were either medium or highly intimate with their parents. Overall relationship intimacy with mothers and fathers was also found to be linked to various relationship characteristics such as conflict (P<0.000), closeness (P<0.000), and dependence (P<0.000) according to the findings. Things that participants liked (P-value=0.047) and disliked (P-value=0.040) most about their mother, feelings when spending time with their mother (P-value=0.066), and things that dislike most about their father (P-value=0.058) had a marginally significant connection with gender.

Cancer patients in low- and middle-income countries face substantial physical, psychological, and financial challenges that compromise quality of life (QoL). This study assessed socioeconomic barriers, clinical treatment, and sociodemographic predictors of Health-related Quality of Life (HRQoL) among cancer patients in Bangladesh. It was a cross-sectional study that randomly enrolled 278 cancer inpatients from three tertiary hospitals in Dhaka and Chattogram (July–September 2025). Data on sociodemographic status, clinical profiles, and socioeconomic barriers were collected via interviews and medical records. HRQoL was assessed using the EORTC QLQ-C30 and analyzed with a median split of the Global health status score of QoL. Following Boruta feature selection, ten machine learning classifiers were developed using stratified 10-fold cross-validation, with model interpretability achieved via SHapley Additive Explanations (SHAP). Mean QoL global health score was severely compromised (23.73 ± 13.59), with high symptom burden for fatigue (79.94 ± 26.01), pain (71.35 ± 27.86), and financial difficulties (89.41 ± 19.76). Bivariate analyses showed significant QoL associations with income, education, marital status, family type, mode of diagnosis, caregiver support, and treatment financing. In the primary median-split analysis, Boruta confirmed 27 predictors, and Gradient Boosting Machine and CatBoost performed best (accuracy 0.914, 95% CI 0.874–0.944; ROC-AUC 0.939; PR-AUC 0.954), well above the no-information rate of 0.622. SHAP analysis of CatBoost model identified mode of cancer diagnosis, family type, monthly family income, primary caregiver identity, and treatment-cost financing as the most influential predictors. Machine learning found key sociodemographic and socioeconomic determinants of HRQoL, highlighting the need for targeted financial protection, caregiver-centered interventions, patient education, and enhanced palliative care access to reduce inequities in inpatient oncology services.