Survey on Awareness of COVID-19 Vaccination for General Population Residing in Pondicherry Original article
Main Article Content
Abstract
Introduction: Government of India has selected the priority groups who will be vaccinated on priority as they are at higher risk. The first group includes health-care workers because they are at high risk of contracting the infection and protecting them helps sustain essential health services. The vaccination of frontline workers will help in reducing the societal and economic impact by reducing COVID-19 mortalities. The next group to receive COVID-19 vaccine will be persons over 50 years of age and persons under 50 years with comorbid conditions because there is high mortality in this category. Therefore, the aim of the study is to assess the awareness of COVID-19 vaccination for general population residing in Pondicherry.
Materials and Methods: A questionnaire was prepared and sent using Google Forms through e-mail and WhatsApp and the participants were asked to submit the response. A total of 135 responses were received. Data were entered in Microsoft Excel sheet and then subjected to data analysis using SPSS software version 23. Descriptive statistics were expressed by means of frequency and percentage.
Results: About 80% of the participants were aware of the COVID-19 symptoms. 91.7% of the participants were very much aware that COVID 19 is a viral disease. Majority of them answered that COVID-19 vaccination may help them to defend infectious disease condition. 66.4% of them reported that vaccination could cause you adverse effect and 52.2% felt that only vaccination could help us from COVID-19 virus. Only 46.3% of the participants were willing to get vaccinated.
Conclusion: The present study shows that there is lack of appropriate awareness on COVID 19 vaccination among general population. People in Pondicherry are fear of adverse effect that causes by vaccination.
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References
WHO (World Health Origination). Coronavirus Disease (COVID-19): Vaccines Available from: https://www.who.int/news-room/questions and-answers/item/coronavirus-disease-(covid-19)-vaccines. [Last accessed on 2020 Nov 09].
Ministry of Health and Family Welfare. Available from: https://www. mohfw.gov.in/ [Last accessed on 2020 Nov 15].
MacDonald NE; SAGE Working Group on Vaccine Hesitancy. Vaccine hesitancy: Definition, scope and determinants. Vaccine 2015;33:4161-4.
Karafillakis E, Larson HJ; ADVANCE consortium. The benefit of the doubt or doubts over benefits? A systematic literature review of perceived risks of vaccines in European populations. Vaccine 2017;35:4840-50.
Cobos Muñoz D, Monzón Llamas L, Bosch-Capblanch X. Exposing concerns about vaccination in low- and middle-income countries: A systematic review. Int J Public Health 2015;60:767-80.
UNICEF. Social Science Support for COVID-19: Lessons Learned Brief 3: Humanitarian Programme Recommendations for COVID-19 Based on Social Sciences Evidence from the DRC Ebola Outbreak Response. UNICEF; 2020. Available from: chrome extension://efaidnbmnnnibpcajpcglclefindmkaj/viewer. html?pdfurl=https%3A%2F%2Fwww.unicef.org%2Fdrcongo% 2Fmedia%2F4131%2Ffile%2FCASS-Brief3 recommendations. pdf&clen=475305&chunk=true. [Last accessed on 2020 May 25].
Al-Maqdis AA; B.B.P.s. Congress, and B.B.S.T. Index. CAPMAS Central Authority for Public Mobilization and Statistics (Egypt) CFAD Tunisian Center for Training and Support CAOA Central Agency for Organization and Administration (Egypt). Available from: http://ghdx. healthdata.org/organizations/central-agency-public mobilization-and statistics-capmas-egypt. [Last accessed on 2020 Nov 20].
Lucia VC, Kelekar A, Afonso NM. COVID-19 vaccine hesitancy among medical students. J Public Health (Oxf) 2021;43:445-9.
Su Z, Wen J, McDonnell D, Goh E, Li X, Šegalo S, et al. Vaccines are not yet a silver bullet: The imperative of continued communication about the importance of COVID-19 safety measures. Brain Behav Immun Health 2021;12:100204.
Good MF, Hawkes MT. The interaction of natural and vaccine-induced immunity with social distancing predicts the evolution of the COVID-19 pandemic. mBio 2020;11:e02617-20.
Zawbaa HM, El-Gendy A, Saeed H, Osama H, Ali AM, Gomaa D, et al. A study of the possible factors affecting COVID-19 spread, severity and mortality and the effect of social distancing on these factors: Machine learning forecasting model. Int J Clin Pract 2021;75:e14116.
Osama El-Gendy A, Saeed H, Ali AM, Zawbaa HM, Gomaa D, Harb HS, et al. Bacillus Calmette-Guérin vaccine, antimalarial, age and gender relation to COVID-19 spread and mortality. Vaccine 2020;38:5564-8