Multiple Vaccinations and the Enigma of Vaccine Injury

Potential determinants of childhood COVID-19 vaccine confidence among the primary school's stakeholders in Bangladesh: A cross-sectional study to assess the effects of education

BACKGROUND

Rapid corona virus disease 2019 (COVID-19) vaccination drives aimed to immunize primary school-aged youth have a potential for health safety and supportive academic attainment. This study aimed to identify the potential factors influencing childhood COVID-19 vaccine confidence among the primary school's stakeholders in Bangladesh and assess the effects of health education on vaccine confidence and receptivity.

MATERIALS AND METHODS

This cross-sectional study used a bilingual, multi-item, closed-ended, anonymous questionnaire adopted from the extant literature studies on the topic. Data were collected purposively by the face-to-face interview approach. In total, 627 primary school's stakeholders participated in this study. The binary logistic regressions and Chi-square tests were employed to investigate and rationalize the study-outlined objectives where <0.05 was considered statistically significant.

RESULTS

The pooled childhood vaccine confidence and receptivity against COVID-19 was 91% (95% CI 89-93) among the primary school's stakeholders. The regression analysis revealed that of eight potential determinants of vaccine confidence, "safety" and "effectiveness" had a highly significant (P = 0.006, P = 0.001, respectively) and positive association and "efficacy" had a significant (P = 0.03) and positive association, while "rumor" had a highly significant (P = 0.000) and negative association with childhood vaccine confidence. The analysis also showed that"health education" had a significant (P = 0.04) and positive association with childhood vaccine confidence and receptivity against COVID-19. Although the odds ratio for receiving childhood vaccine was found to be 0.6, the result was insignificant (P > 0.05) in the Chi-squared test. Hence, there was no vaccine-hesitant risky recipient group identified in implementing upcoming childhood COVID-19 vaccination programs.

CONCLUSIONS

This study confirms the importance of a positive perception of vaccine safety, efficacy, effectiveness, and health education for vaccine confidence under any circumstances. Childhood COVID-19 vaccine confidence is Improved if vaccination data become more available to the guardians and school community. Public health education would be considered a preferred approach for building trust and fostering childhood vaccine confidence against COVID-19 in Bangladesh.

Reaffirming a Positive Correlation Between Number of Vaccine Doses and Infant Mortality Rates: A Response to Critics

Introduction In 2011, we published a study that found a counterintuitive, positive correlation, r = 0.70 (p < .0001), demonstrating that among the most highly developed nations (n = 30), those that require more vaccines for their infants tend to have higher infant mortality rates (IMRs). Critics of the paper recently claimed that this finding is due to "inappropriate data exclusion," i.e., the failure to analyze the "full dataset" of all 185 nations. Objective In the present study, we examine various claims postulated by these critics and the validity of their scientific methods, and we perform several investigations to assess the reliability of our original findings. Methods The critics select 185 nations and use linear regression to report a correlation between the number of vaccine doses and IMRs. They also perform multiple linear regression analyses of the Human Development Index (HDI) vs. IMR with additional predictors and investigate IMR vs. percentage vaccination rates for eight different vaccines. We perform odds ratio, sensitivity, and replication analyses. Results The critics' reanalysis combines 185 developed and Third World nations that have varying rates of vaccination and socioeconomic disparities. Despite the presence of inherent confounding variables, a small, statistically significant positive correlation of r = 0.16 (p < .03) is reported that corroborates the positive trend in our study. Multiple linear regression analyses report high correlations between IMR and HDI, but the number of vaccine doses as an additional predictor is not statistically significant. This finding is a likely consequence of known misclassification errors in HDI. Linear regression of IMR as a function of percentage vaccination rates reports statistically significant inverse correlations for 7 of 8 vaccines. However, several anomalies in the scatter plots of the data suggest that the chosen linear model is problematic. Our odds ratio analysis conducted on the original dataset controlled for several variables. None of these variables lowered the correlation below 0.62, thus robustly confirming our findings. Our sensitivity analysis reported statistically significant positive correlations between the number of vaccine doses and IMR when we expanded our original analysis from the top 30 to the 46 nations with the best IMRs. Additionally, a replication of our original study using updated 2019 data corroborated the trend we found in our first paper (r = 0.45, p = .002). Conclusions A positive correlation between the number of vaccine doses and IMRs is detectable in the most highly developed nations but attenuated in the background noise of nations with heterogeneous socioeconomic variables that contribute to high rates of infant mortality, such as malnutrition, poverty, and substandard health care.