Observations of COVID-19 vaccine coverage and vaccine hesitancy on COVID-19 outbreak: An American ecological study.

COVID-19 COVID-19 cases Deaths Hospitalizations SARS-CoV-2 Vaccination coverage Vaccine hesitancy

Journal

Vaccine
ISSN: 1873-2518
Titre abrégé: Vaccine
Pays: Netherlands
ID NLM: 8406899

Informations de publication

Date de publication:
15 Dec 2023
Historique:
received: 31 08 2023
revised: 10 11 2023
accepted: 01 12 2023
medline: 17 12 2023
pubmed: 17 12 2023
entrez: 16 12 2023
Statut: aheadofprint

Résumé

In this ecological study, we aim to establish the role vaccines play in bringing the pandemic under control, as well as the impact of pathogen variants, vaccine hesitancy, and medical resource availability during the process by utilizing publicly available data. The study spans a three-year data collection period for daily hospital admissions due to COVID-19 and the daily reported cases of COVID-19 across all 50 states in the USA. In doing so, we aim to demonstrate the difference in severity of the SARS-CoV-2 pathogen among vaccinated and unvaccinated populations in the USA. The study assesses the correlation of COVID-19 vaccines (e.g., Pfizer, Moderna, and Janssen) and disease outcomes (transmissibility, severity, and deaths) caused by different strains of SARS-CoV-2 and establishes a negative correlation between COVID-19 vaccine and disease outcomes. By considering potential confounders in vaccine hesitancy, medical resource availability and vaccine dosage, we demonstrate the aforementioned to be insubstantial in predicting disease outcomes while the latter displays a contrasting significance in terms of disease outcomes. Between all the major variants of concern, the Delta and Omicron variants in particular have been associated with higher virulence and transmissibility factors respectively. Hence, the CDC continues to encourage the US population to get vaccinated since vaccines are one of the most effective ways to protect the community from potential outbreaks and prevent severe disease manifestations.

Identifiants

pubmed: 38103963
pii: S0264-410X(23)01441-X
doi: 10.1016/j.vaccine.2023.12.008
pii:
doi:

Types de publication

Journal Article

Langues

eng

Sous-ensembles de citation

IM

Informations de copyright

Copyright © 2023 Elsevier Ltd. All rights reserved.

Déclaration de conflit d'intérêts

Declaration of competing interest The authors declare that they have no known competing financial interests or personal relationships that could have appeared to influence the work reported in this paper.

Auteurs

Deewan Bajracharya (D)

Genomics, Phenomics, and Bioinformatics Program, North Dakota State University, Fargo, ND, USA. Electronic address: deewan.bajracharya@ndsu.edu.

Rick J Jansen (RJ)

Genomics, Phenomics, and Bioinformatics Program, North Dakota State University, Fargo, ND, USA; Biostatistics Core, Masonic Cancer Center, University of Minnesota, Minneapolis, MN, USA.

Classifications MeSH