Abstract
Background: Covaxin and Covishield vaccines have rapidly rolled out in India to curb the pandemic. We aimed to test the hypothesis that COVID-19 vaccination is clinically effective. Methods: This study was conducted in the Department of Physiology at MGM College, Jaipur, India after approval from the Ethics Committee. Vaccinated and non-vaccinated groups were tested on disease transmission, hospitalization, and clinical outcomes. Researchers collected data using questionnaires circulated through google forms. The association between attributes was tested using the chi-squared test. The significance level was considered at 5%. Results: The vaccination significantly reduced disease transmission of COVID-19 [c2=4.51; p = 0.034]. However, no significant differences were seen in RTPCR positivity, chest CT findings, and hospitalization on vaccination. COVID-related symptoms and their severity were not statistically different between the two groups. Most elderly were vaccinated [c2=41.68; p < 0.001]. Most youths took one dose, while the elderly took two doses of the vaccine [c2=41.77; p < 0.001]. All age groups had similar severity of AEFIs [c2=13.22; p < 0.21]. The vaccination status across gender did not differ significantly. [c2=1.13; p < 0.288] Most males took two doses as compared to females [c2=6,57; p < 0.01]. Adverse effects post-immunization were more severe in females than males [c2=13.10; p < 0.001]. There was no association between the number of vaccine doses and the severity of AEFIs [c2=16.42; p = 0.06]. Conclusion: The present study concludes the beneficial effect of vaccination in reducing disease transmission. However, vaccination has no role in mitigating other COVID-related outcomes.
Publisher
Centre for Evaluation in Education and Science (CEON/CEES)
Reference37 articles.
1. Zhou P, Yang X Lou, Wang XG, Hu B, Zhang L, Zhang W, et al. A pneumonia outbreak associated with a new coronavirus of probable bat origin. Nature [Internet]. 2020 Mar 12 [cited 2022 Apr 11];579(7798):270-3. Available from: https://pubmed.ncbi.nlm.nih.gov/32015507;
2. Wu F, Zhao S, Yu B, Chen YM, Wang W, Song ZG, et al. A new coronavirus associated with human respiratory disease in China. Nature [Internet]. 2020 Mar 12 [cited 2022 Apr 11];579(7798):265-9. Available from: https://pubmed.ncbi.nlm.nih.gov/32015508;
3. Ciotti M, Ciccozzi M, Terrinoni A, Jiang WC, Wang C Bin, Bernardini S. The COVID-19 pandemic. Crit Rev Clin Lab Sci [Internet]. 2020 [cited 2022 Apr 11];57(6):365-88. Available from: https://pubmed.ncbi.nlm.nih.gov/32645276;
4. Weekly epidemiological update on COVID-19 -5 April 2022 [Internet]. [cited 2022 Apr 13]. Available from: https://www.who.int/publications/m/item/weekly-epidemiological-update-on-covid-19---5-april-2022;
5. Tak A, Dia S, Dia M, Wehner TC. Indian COVID-19 Dynamics: Prediction Using Autoregressive Integrated Moving Average Modelling ARTICLE INFO (1) (2). Scr Med [Internet]. 2021 [cited 2022 Apr 13];52(1):6-14. Available from: https://github.com/CSSEGISand;