Analyzing the Effectiveness of Vaccination as a Preventive Measure in Combating COVID-19 and Recommendations for Future Health Emergencies in India

Avani Saraswat, Tejal Varekar
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Abstract

In order to mitigate the impact of the COVID-19 pandemic, India launched the world’s most extensive vaccination drive. Almost 1.9 billion vaccination doses were given until May 13, 2022, since the beginning of the drive, with 1 billion people vaccinated for the first dose and 0.87 billion people for the second dose. The objective of the study is to analyze the impact of vaccination on the control of SARS-CoV-2 infection. The secondary data was obtained by the World Health Organization for COVID-19 cases and the Ministry of Health and Family Welfare for vaccination from January 22, 2022, to May 13, 2022. Exponential regression was performed for total cumulative vaccinations (18 years and older received at least one dose) as an independent variable and the rate of COVID infection (0.1million per week) as a dependent variable. The p-value is 0.001, with a negative slope emphasizing that the correlation is significant for the selected time period. Further, the predictive model with R2 = 0.96 shows the model is best fitted. The mathematical model supports the role of vaccination in decreasing cases of COVID-19. Predicting the rate of occurrence of infection against the backdrop of a vaccination drive can be a valuable tool for assessing vaccine effectiveness and planning for future actions. Keywords: COVID-19, vaccination, health emergencies, preventive measures
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分析疫苗接种作为预防措施在抗击COVID-19中的有效性以及对印度未来突发卫生事件的建议
为了减轻COVID-19大流行的影响,印度发起了世界上最广泛的疫苗接种运动。自运动开始以来,截至2022年5月13日,已接种了近19亿剂疫苗,其中10亿人接种了第一剂疫苗,8.7亿人接种了第二剂疫苗。本研究的目的是分析疫苗接种对控制SARS-CoV-2感染的影响。次要数据由世界卫生组织和卫生和家庭福利部获得,用于2022年1月22日至2022年5月13日的疫苗接种。将总累积疫苗接种(18岁及以上接种至少一剂)作为自变量,将COVID感染率(每周10万)作为因变量,进行指数回归。p值为0.001,负斜率强调相关性在选定的时间段内是显著的。预测模型R2 = 0.96表明模型拟合最佳。该数学模型支持疫苗接种在减少COVID-19病例中的作用。在疫苗接种运动的背景下预测感染发生率可成为评估疫苗有效性和规划未来行动的宝贵工具。关键词:COVID-19,疫苗接种,突发卫生事件,预防措施
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