Publication

Relationship between neighborhood census-tract level socioeconomic status and respiratory syncytial virus-associated hospitalizations in US adults, 2015-2017

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Last modified
  • 05/14/2025
Type of Material
Authors
    Evan Anderson, Emory UniversityJenna E Holmen, UCSF Benioff Children’s HospitalLindsay Kim, Centers for Disease Control and Prevention (CDC), AtlantaBryanna Cikesh, Centers for Disease Control and Prevention (CDC), AtlantaPam D Kirley, California Emerging Infections ProgramShua J Chai, Centers for Disease Control and Prevention (CDC), AtlantaNancy M Bennett, University of RochesterChristina B Felsen, University of RochesterPatricia Ryan, Maryland Department of HealthMaya Monroe, Maryland Department of HealthKyle P Openo, Georgia Department of Health, AtlantaKathryn Como-Sabetti, Minnesota Department of HealthErica Bye, Minnesota Department of HealthKeipp H Talbot, Vanderbilt UniversityWilliam Schaffner, Vanderbilt UniversityAlison Muse, New York State Department of HealthGrant R Barney, New York State Department of HealthMichael Whitaker, Centers for Disease Control and Prevention (CDC), AtlantaJennifer Ahern, University of California BerkeleyChristopher Rowe, University of California BerkeleyGayle Langley, Centers for Disease Control and Prevention (CDC), AtlantaArt Reingold, University of California Berkeley
Language
  • English
Date
  • 2021-03-23
Publisher
  • BMC
Publication Version
Copyright Statement
  • © The Author(s) 2021
License
Final Published Version (URL)
Title of Journal or Parent Work
Volume
  • 21
Issue
  • 1
Start Page
  • 293
End Page
  • 293
Grant/Funding Information
  • Data collection for this work was supported by the Centers for Disease Control and Prevention through an Emerging Infections Program cooperative agreement (grant CL17–701).
Supplemental Material (URL)
Abstract
  • Background: Respiratory syncytial virus (RSV) infection causes substantial morbidity and mortality in children and adults. Socioeconomic status (SES) is known to influence many health outcomes, but there have been few studies of the relationship between RSV-associated illness and SES, particularly in adults. Understanding this association is important in order to identify and address disparities and to prioritize resources for prevention. Methods: Adults hospitalized with a laboratory-confirmed RSV infection were identified through population-based surveillance at multiple sites in the U.S. The incidence of RSV-associated hospitalizations was calculated by census-tract (CT) poverty and crowding, adjusted for age. Log binomial regression was used to evaluate the association between Intensive Care Unit (ICU) admission or death and CT poverty and crowding. Results: Among the 1713 cases, RSV-associated hospitalization correlated with increased CT level poverty and crowding. The incidence rate of RSV-associated hospitalization was 2.58 (CI 2.23, 2.98) times higher in CTs with the highest as compared to the lowest percentages of individuals living below the poverty level (≥ 20 and < 5%, respectively). The incidence rate of RSV-associated hospitalization was 1.52 (CI 1.33, 1.73) times higher in CTs with the highest as compared to the lowest levels of crowding (≥5 and < 1% of households with > 1 occupant/room, respectively). Neither CT level poverty nor crowding had a correlation with ICU admission or death. Conclusions: Poverty and crowding at CT level were associated with increased incidence of RSV-associated hospitalization, but not with more severe RSV disease. Efforts to reduce the incidence of RSV disease should consider SES.
Author Notes
Keywords
Research Categories
  • Health Sciences, Epidemiology
  • Health Sciences, Medicine and Surgery

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