Experience and side effects of COVID-19 vaccine uptake among university students: a cross-sectional survey study.

Introduction: Many people expressed concern over coronavirus vaccinations' reliability and side effects. This research aimed to assess university students' perceptions and experiences regarding the side effects of the COVID-19 vaccines in Bangladesh. Method: We conducted an online cross-sectional survey to collect responses from university students vaccinated with any vaccines administered in Bangladesh between November 2021 to April 2022. Bangladeshi university students over the age of 18 and having an internet connection was included in the study. A binary logistic regression analysis along with Pearson's Chi-square test were used to identify COVID-19 vaccine-related side effects predictors after receiving the first dose. Results: A total of 1,176 participants responded voluntarily to the online study, and most were vaccinated. More than half of the participants received the Sinopharm vaccine (56.5%), while others received Covishield (8.9%), Moderna (7.3%), and Pfizer (5.8%) vaccine. Around 32% of the participants reported side effects after receiving the first dose of the vaccine, including pain and edema (78.4%), body temperature (20.3%), and headache (14.5%), while a few experienced allergy, anxiety, and uneasy feelings. About 17% of the participants reported experiencing side effects after the second dose of the vaccine, including pain and edema (7.5%), body temperature (8.8%), and headache (7.3%). Most side effects were significantly associated with the Moderna vaccine (p < 0.001). Female students and those previously infected with COVID-19 were significantly associated with the side effects after taking the first dose of the vaccine. Conclusion: We found that side effects are mild and did not pose a significant challenge to Bangladesh's effort in managing and reducing the risk associated with the COVID-19 pandemic.

Factors associated with age of mother at first birth in Albania: application of quantile regression model.

The objective of this study was to explore the risk factors that can determine the age of mother at first birth in Albania. The necessary information was extracted from a nationally representative sample survey, Albania Demographic and Health Survey, 2017-18 dataset. To identify the possible risk factors of the age of mother at first birth, we applied quantile regression model. The mean age of mother at first birth was found to be 22.38 years with standard deviation of 3.56 years. The minimum and maximum age was reported 15 and 45 years, respectively. From the result of quantile regression, respondent's current age, education level and partner's higher education level were found positive impact on age of the mother at first birth. However, rural area, partner's age and smoking status found negative impact on age of the mother at first birth. This study suggests that women's education should be more prioritized because it can interfere with the idea of early marriage. Awareness can also be raised by social activities since the improvement of social conditions and reduction of social deprivation can increase the age of mother at first birth.