Evidence map›Paper›PMID 33923159›Full record

ArticleVaccines2021

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

Claudio Zanettini, Mohamed Omar, Wikum Dinalankara, Eddie Luidy Imada, Elizabeth Colantuoni, Giovanni Parmigiani, Luigi Marchionni

Abstract read
In one paragraph

Article in Vaccines, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 77 papers, 3 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
77citing papers in PubMed, 3 pooled it
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

77 citing papers in PubMed, 3 syntheses or guidelines pooled it.

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17 more citing papers are in PubMed but not listed here.

4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

7 authors.

Claudio ZanettiniDepartment of Pathology and Laboratory Medicine, Weill Cornell Medicine, New York, NY 10065, USA.ORCID 0000-0001-5043-8033
Mohamed OmarDepartment of Pathology and Laboratory Medicine, Weill Cornell Medicine, New York, NY 10065, USA.ORCID 0000-0002-8068-1920
Wikum DinalankaraDepartment of Pathology and Laboratory Medicine, Weill Cornell Medicine, New York, NY 10065, USA.
Eddie Luidy ImadaDepartment of Pathology and Laboratory Medicine, Weill Cornell Medicine, New York, NY 10065, USA.ORCID 0000-0001-9527-3703
Elizabeth ColantuoniDepartment of Biostatistics, Johns Hopkins University, Baltimore, MD 21205, USA.
Giovanni ParmigianiDepartment of Data Sciences, Dana-Farber Cancer Institute, Boston, MA 02215, USA.
Luigi MarchionniDepartment of Pathology and Laboratory Medicine, Weill Cornell Medicine, New York, NY 10065, USA.ORCID 0000-0002-7336-8071

Funding

VectorP30CA006516 · NCI · DANA-FARBER CANCER INSTITUTE · PI A. Heather Eliassen · 1985 to 2026
$330.6M
Translational Research Central ServicesP30CA006973 · NCI · JOHNS HOPKINS UNIVERSITY · PI Rosalie Wollett · 1985 to 2026
$208.6M
NCI NIH HHS 5P30CA006516-56NCI NIH HHS P30CA006973
6 · The paper itself

Abstract

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.

Indexed as

COVID-19influenzainfluenza vaccinemortalityvaccination coverage

Identifiers

PMID33923159
PMCPMC8145634

What OpenQuestion holds

Textmetadata
LicenceCC BY
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Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.