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Introduction: In India, only 56.3% of children between one to two years of age have received full immunization. In some area, despite of good health care delivery system, immunization coverage is not reaching up to the mark due to some unaddressed issues. Therefore, identification of these determinants will help to improve the immunization status of each child. Methods: Community-based cross-sectional study was conducted in the field practice area of the Rural Health Training Centre (RHTC) affiliated to the medical college in Maharashtra, India. The sample of 350 participants was taken from 19 villages in the rural area and 17 administrative wards in the urban area by ‘Probability Proportional to population Size’ method. All married women in 15-49 years of age, having child in the age group 13- 24 months were included in the study. Results:  83.71% children were fully immunized while remaining 16.29% were either partially or unimmunized. The dropout rate for measles compared to BCG was 16.3%. Main reasons for partial and un-immunization were lack of information and forgotten about the date. Occupation of mother, family type, parity, place of delivery and knowledge of immunization were significantly associated with immunization status of child.
Conclusions:  The determinants of immunization coverage if studied locally will help the programme managers to implement programme effectively to increase the overall coverage.

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Introduction: This study aimed to evaluate the baseline characteristics of patients infected with SARS-CoV-2, after receiving first or second doses of COVID-19 vaccine. Methods: In this cross-sectional study, we examined 100 patients with SARS-CoV-2 infection after vaccination and collected demographic characteristics and history of underlying diseases, lung involvement, and severity of the disease, as well as the type of vaccine received and the duration of onset of the diseases symptoms after vaccination. The relationship between the disease severity and variables was evaluated by the bivariate analysis. Multiple logistic regression model was performed to predict the severity of the disease by calculating the odds ratios and  95% confidence intervals (CIs). Results: The mean±SD age of COVID-19 patients was 62.54±14.93 years. 59% of patients were male. The mean interval between vaccination and onset of symptom disease was 4.95 days.  In bivariable analysis, there was a difference between the mean of the lung involvement in CT scan, O₂ saturation, hypertension (HTN), and Severity of the disease (p < 0.001). In multiple logistic regression analysis, HTN (OR: 5.6, 95CI:1.07-25.5, p = 0.04), O₂ saturation < 90% (OR:1.53, 95% CI: 1.39-2.92, p =0.003) and lung involvement ≥ 30% in CT scan were predictors of disease severity. Conclusion: Due to the short time interval between COVID-19 vaccination and the disease symptoms in this study, it is recommended all people with any symptom of disease to avoid the vaccination