Decoding COVID-19 Vaccine Hesitancy Using Multiple Regression Analysis with Socioeconomic Values

With the growth and development of COVID-19 and its variants, reaching a level of herd immunity is critically important for national security in public health. To deal with COVID-19, the United States has implemented phased plans to distribute COVID-19 vaccines. As of November 2022, over 80% of Amer...

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Veröffentlicht in:	Proceedings / International Conference on Advanced Information Networking and Applications Jg. 655; S. 649 - 659
Hauptverfasser:	Lu, Wei, Xue, Ling, Shorten, Bria
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	United States 2023
ISSN:	2332-5658, 1550-445X, 2332-5658
Online-Zugang:	Volltext
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Beschreibung
Zusammenfassung:	With the growth and development of COVID-19 and its variants, reaching a level of herd immunity is critically important for national security in public health. To deal with COVID-19, the United States has implemented phased plans to distribute COVID-19 vaccines. As of November 2022, over 80% of Americans had received their first shot to guard against COVID-19, and 68.6% were considered fully vaccinated, according to the dataset provided by CDC. However, a significant number of American people still hesitate to receive a shot of the COVID-19 vaccine. This paper aims to demystify COVID-19 vaccine hesitancy by analyzing various socioeconomic characteristics among individuals and communities, including unemployment rate, age groups, median household income, and education level. A multiple regression modeling and data visualization analysis show patterns with an increasing trend of vaccine hesitancy associated with a lower median household income, a younger age group, and a lower education level, which would help policymakers to make policies accordingly to target vaccine support information and remove this hurdle to end the COVID-19 pandemic effectively.
Bibliographie:	ObjectType-Article-1 SourceType-Scholarly Journals-1 ObjectType-Feature-2 content type line 23
ISSN:	2332-5658 1550-445X 2332-5658
DOI:	10.1007/978-3-031-28694-0_61