Influenza Vaccination and COVID-19 Mortality in the USA: An Ecological Study.

COVID-19 influenza influenza vaccine mortality vaccination coverage

Journal

Vaccines
ISSN: 2076-393X
Titre abrégé: Vaccines (Basel)
Pays: Switzerland
ID NLM: 101629355

Informations de publication

Date de publication:
24 Apr 2021
Historique:
received: 26 03 2021
revised: 16 04 2021
accepted: 20 04 2021
entrez: 30 4 2021
pubmed: 1 5 2021
medline: 1 5 2021
Statut: epublish

Résumé

The COVID-19 mortality rate is higher in the elderly and in those with pre-existing chronic medical conditions. The elderly also suffer from increased morbidity and mortality from seasonal influenza infections; thus, an annual influenza vaccination is recommended for them. In this study, we explore a possible county-level association between influenza vaccination coverage in people aged 65 years and older and the number of deaths from COVID-19. To this end, we used COVID-19 data up to 14 December 2020 and US population health data at the county level. We fit quasi-Poisson regression models using influenza vaccination coverage in the elderly population as the independent variable and the COVID-19 mortality rate as the outcome variable. We adjusted for an array of potential confounders using different propensity score regression methods. Results show that, on the county level, influenza vaccination coverage in the elderly population is negatively associated with mortality from COVID-19, using different methodologies for confounding adjustment. These findings point to the need for studying the relationship between influenza vaccination and COVID-19 mortality at the individual level to investigate any underlying biological mechanisms.

Identifiants

pubmed: 33923159
pii: vaccines9050427
doi: 10.3390/vaccines9050427
pmc: PMC8145634
pii:
doi:

Types de publication

Journal Article

Langues

eng

Subventions

Organisme : NCI NIH HHS
ID : P30CA006973
Pays : United States
Organisme : NCI NIH HHS
ID : 5P30CA006516-56
Pays : United States

Commentaires et corrections

Type : UpdateOf

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Auteurs

Claudio Zanettini (C)

Department of Pathology and Laboratory Medicine, Weill Cornell Medicine, New York, NY 10065, USA.

Mohamed Omar (M)

Department of Pathology and Laboratory Medicine, Weill Cornell Medicine, New York, NY 10065, USA.

Wikum Dinalankara (W)

Department of Pathology and Laboratory Medicine, Weill Cornell Medicine, New York, NY 10065, USA.

Eddie Luidy Imada (EL)

Department of Pathology and Laboratory Medicine, Weill Cornell Medicine, New York, NY 10065, USA.

Elizabeth Colantuoni (E)

Department of Biostatistics, Johns Hopkins University, Baltimore, MD 21205, USA.

Giovanni Parmigiani (G)

Department of Data Sciences, Dana-Farber Cancer Institute, Boston, MA 02215, USA.
Department of Biostatistics, Harvard TH Chan School of Public Health, Boston, MA 02115, USA.

Luigi Marchionni (L)

Department of Pathology and Laboratory Medicine, Weill Cornell Medicine, New York, NY 10065, USA.

Classifications MeSH