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Author Notes:

Jenna E. Holmen, Email: jenna.holmen@ucsf.edu

JEH helped design the study and analyzed and interpreted the data and composed the manuscript. LK, GL, and AR were major contributors in the design of the study and composition of the manuscript. BC and MW compiled and organized the data. PDK, SJC, NMB, CBF, PR, MM, EJA, KPO, KCS, EB, HKT, WS, AM, and GRB collected the data. JA and CR had significant contributions in study design and analysis. All authors read and approved the final manuscript.

The authors would like to acknowledge the work of Ruth Lynfield, Richard Danila, Austin Bell, Deborah Godine, Linda Frank, Emily Fawcett, Andrew Martin, Robert Sunkel, David Blythe, Eva Pradhan, Kerianne Engesser, Nancy Spina, RaeAnne Kurtz, Tiffanie Markus, Karen Leib, Katie Dyer, Terri McMinn, Danielle Ndi, Kathy Billings, and John Ujwok in the preparation of this manuscript.

The authors declare that they have no competing interests.

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Research Funding:

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).

Keywords:

  • Science & Technology
  • Life Sciences & Biomedicine
  • Infectious Diseases
  • RSV
  • Socioeconomic status
  • NEW-HAVEN COUNTY
  • RISK-FACTORS
  • INFLUENZA
  • DISPARITIES
  • INFECTION
  • HEALTH
  • CHILDREN
  • EPIDEMIOLOGY
  • SURVEILLANCE
  • INEQUALITIES

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

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Journal Title:

BMC INFECTIOUS DISEASES

Volume:

Volume 21, Number 1

Publisher:

, Pages 293-293

Type of Work:

Article | Final Publisher PDF

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.

Copyright information:

© The Author(s) 2021

This is an Open Access work distributed under the terms of the Creative Commons Attribution 4.0 International License (https://creativecommons.org/licenses/by/4.0/rdf).
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