Facing a Pandemic: A COVID-19 Time Series Analysis of Vaccine Impact

ADVANCES IN COMPUTATIONAL INTELLIGENCE (MICAI 2021), PT I(2021)

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摘要
Economics, social encounters, and most importantly, human life was deeply affected by the COVID-19 pandemic. The international state of contingency led vaccine manufacturers worldwide to double their efforts in developing a vaccine that would be influential in contagion rate decrease. This paper offers an overview of the worldwide vaccination process and its impact on confirmed cases. In this work, we present a time series analysis methodology to predict which country group using each of the most popular vaccines will have the less steep curve of confirmed cases in a time window of 21 days. The experiments led to 94% of the data fitting our models on average, leading to a confident suggestion on the vaccine related to the less steep foreseeable contagion slope.
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关键词
COVID-19, Vaccination, Time series analysis, Data mining
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