Associations Between Community Social Vulnerability or Socioeconomic Deprivation and Respiratory Virus Infection in Decedents in a Large, Urban Medical Examiner’s Office

Datos Bibliográficos

ID18933901
AutoresXinnuo Zhao (University of Michigan, autor de correspondencia), Catherine J Schmidt (0000-0003-1264-8659, University of Michigan), Jon Zelner (0000-0002-0708-2008, University of Michigan), Emily T Martins (0000-0002-5771-8895, University of Michigan), Marisa C Eisenberg (0000-0003-4221-830X, University of Michigan), Paul R Lephart (0000-0002-8938-2257, University of Michigan), Andrea Jaworski (Wayne State University), Allecia M Wilson (0000-0002-6153-3228, University of Michigan), Andrew F Brouwer (0000-0002-3779-5287, University of Michigan)
Año2025
Fecha de publicación2025-05-20
Peer ReviewedSí
Open AccessSí
TipoARTICLE
RevistaJournal of Racial and Ethnic Health Disparities (JOURNAL)
Identificadores de la revistaISSN: 2196-8837 • E-ISSN: 2197-3792
EditorialSpringer Science+Business Media (PUBLISHER • DE)
DOI10.1007/s40615-025-02482-x
PMID40392438
OpenAlexW4410512357
IdiomaEN
Referencias citadas33

BACKGROUND: Current respiratory virus surveillance relies primarily on medically attended, symptomatic cases, which may distort the true patterns of respiratory virus infection. Estimating the underlying respiratory viral infection patterns, regardless of the symptomatic status, may help us to better intervene and address issues of racial and ethnic health equity. We tested decedents from the Wayne County Medical Examiner's Office (Wayne & Monroe Counties, Michigan including Detroit) regardless of the cause of death. METHODS: Nasopharyngeal samples were collected from decedents at the Wayne County Medical Examiner's Office between October 2020 and September 2022 and tested for a panel of respiratory viruses. We identified 3430 decedents with catchment addresses, which we linked to the social vulnerability index (SVI) and area deprivation index (ADI) through US Census tract/block. We evaluated non-linear associations between each of adenovirus (AdV), SARS-CoV-2, parainfluenza virus 2 (PIV2), rhinovirus (RV), and respiratory syncytial virus (RSV) prevalence and ADI, SVI, and SVI subthemes using splines in log-binomial regression models. RESULTS: There were few statistically significant associations observed between overall SVI or ADI and respiratory virus infection prevalence. However, RV was significantly associated with ADI, SVI, and most SVI subthemes. The SVI Minority Status and Language (MSL) subtheme was statistically significantly associated with the prevalence of AdV and RV (p < 0.05) and associations with SARS-CoV-2 and RSV approached significance (p < 0.10). CONCLUSIONS: Our results suggest that the MSL subtheme of SVI may be the most informative community-level predictor of respiratory virus infections and could be used to prioritize health-equity-focused distribution of public health resources

Environmental health · Ethnic group · Population · Respiratory system · Respiratory tract infections · Rhinovirus · Social vulnerability · Socioeconomic status · Demography · Infection Control and Ventilation · Medicine · Respiratory viral infections research · SARS-CoV-2 detection and testing · Epidemiology · Gerontology · Internal Medicine