Estimating county-level flu vaccination in the United States.


Journal

medRxiv : the preprint server for health sciences
Titre abrégé: medRxiv
Pays: United States
ID NLM: 101767986

Informations de publication

Date de publication:
11 May 2023
Historique:
pubmed: 22 5 2023
medline: 22 5 2023
entrez: 22 5 2023
Statut: epublish

Résumé

In the United States, influenza vaccines are an important part of public health efforts to blunt the effects of seasonal influenza epidemics. This in turn emphasizes the importance of understanding the spatial distribution of influenza vaccination coverage. Despite this, high quality data at a fine spatial scale and spanning a multitude of recent flu seasons are not readily available. To address this gap, we develop county-level counts of vaccination across five recent, consecutive flu seasons and fit a series of regression models to these data that account for bias. We find that the spatial distribution of our bias-corrected vaccination coverage estimates is generally consistent from season to season, with the highest coverage in the Northeast and Midwest but is spatially heterogeneous within states. We also observe a negative relationship between a county's vaccination coverage and social vulnerability. Our findings stress the importance of quantifying flu vaccination coverage at a fine spatial scale, as relying on state or region-level estimates misses key heterogeneities.

Identifiants

pubmed: 37214921
doi: 10.1101/2023.05.10.23289756
pmc: PMC10197794
pii:
doi:

Types de publication

Preprint

Langues

eng

Déclaration de conflit d'intérêts

The authors declare no competing interests.

Auteurs

Andrew Tiu (A)

Department of Biology, Georgetown University, Washington, DC, USA.

Shweta Bansal (S)

Department of Biology, Georgetown University, Washington, DC, USA.

Classifications MeSH