Statistical investigation on association between the cumulative number of fully vaccinated people in the U.S. and the daily Covid-19 confirmation cases

Ximeng Fu; Yinbo Wang

doi:10.1117/12.2628104

22 April 2022 Statistical investigation on association between the cumulative number of fully vaccinated people in the U.S. and the daily Covid-19 confirmation cases

Ximeng Fu, Yinbo Wang

Author Affiliations +

Proceedings Volume 12163, International Conference on Statistics, Applied Mathematics, and Computing Science (CSAMCS 2021); 121630V (2022) https://doi.org/10.1117/12.2628104
Event: International Conference on Statistics, Applied Mathematics, and Computing Science (CSAMCS 2021), 2021, Nanjing, China

Abstract

Background: limited research about Covid-19 has been done on investigating the relationship between the number of vaccinated people and confirmed cases. We investigate the hypothesis, that the number of confirmed cases would negatively correlate with the number of people fully vaccinated. Methods: the data we chose to analyze is the number of Covid-19 confirmed cases versus the cumulative number of vaccinated people in the U.S. The data is collected from CDC's official website. The data was updated daily from 13 December 2020 (The start date when the Covid-19 vaccine was first available in the U.S.) till the date we collected it, 16 June 2021. Conclusion: our study indicates that the number of Covid-19 confirmed cases decreases as the number of fully vaccinated people increases. The results of this study will provide reasonable suggestions to people who are currently uncertain about the safety and effectiveness of the vaccines and convey profound cosmopolitan implications on other countries to contain the Covid-19 outbreak.

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Ximeng Fu and Yinbo Wang "Statistical investigation on association between the cumulative number of fully vaccinated people in the U.S. and the daily Covid-19 confirmation cases", Proc. SPIE 12163, International Conference on Statistics, Applied Mathematics, and Computing Science (CSAMCS 2021), 121630V (22 April 2022); https://doi.org/10.1117/12.2628104

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KEYWORDS

Statistical analysis

Safety

Data centers

Analytical research

Data analysis

Data modeling

Mathematical modeling

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