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Correlation between vaccine coverage and the COVID-19 pandemic throughout the world: Based on real-world data
Chao Huang1, Lijun Yang2, Jia Pan3
1Department of Critical Medicine, Affiliated Hospital of Chengdu University, Chengdu, Sichuan, China.
Abstract:
The aim of the study was to examine the correlation between COVID-19 vaccine coverage rates and outcomes of the COVID-19 epidemic in the case of COVID-19 variants based on real-world data. The data came from Our World in Data, which is building the international COVID-19 vaccination data set and is an open-source data set for everyone to use. The vaccination data set uses the most recent official numbers from governments and health ministries worldwide. We assessed the correlation between COVID-19 vaccine coverage rates and outcomes of the COVID-19 epidemic with existing variants by performing temporal analysis and spatial analysis. Overall, new cases per million population, the reproduction rate of COVID-19, new deaths from all causes per million population, excess mortality attributed to COVID-19 pandemic, and hospital patients or intensive care unit (ICU) patients per million population were not decreased with the time course. However, at the same time point, new cases per million population, the reproduction rate of COVID-19, new deaths per million population, and hospital patients or ICU patients per million population gradually decreased as the rate of vaccination coverage increased. High coverage percentages of COVID-19 vaccination were negatively correlated with the reproduction rate of COVID-19 (correlation coefficient -0.116) and ICU patients per million of the local population (correlation coefficient -0.055). Currently, there is no effective treatment for the COVID-19 pandemic, and prevention of the COVID-19 pandemic mainly depends on vaccines, especially when the rate of COVID-19 vaccine coverage is over 60%. The benefits of preventing severe disease and preventing transmission of infection are likely to be obvious.
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