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Updated: Jan 7, 2026

High-throughput Detection Method for Influenza Virus
Published on: February 4, 2012
County-Level Influenza-Attributable Emergency Department Visits and Their Spatial Correlates in the United States:
Xucheng Fred Huang1, Joshua L Warren2, Shuqi Lin2
1Gangarosa Department of Environmental Health, Rollins School of Public Health, Emory University, Atlanta, GA, United States.
Seasonal influenza significantly increases emergency department visits, with rates varying by county. Socioeconomic factors, pollution, and chronic conditions like COPD and diabetes are linked to higher influenza burden.
Area of Science:
- Epidemiology
- Public Health
- Environmental Health
Background:
- Seasonal influenza poses a significant public health challenge, yet its impact on emergency department (ED) visits is not fully understood due to data limitations.
- Quantifying influenza's burden on ED visits is crucial for effective resource allocation and public health interventions.
Purpose of the Study:
- To estimate county-level respiratory ED visits attributable to seasonal influenza.
- To investigate the spatial variations in influenza burden across different counties.
- To identify socioeconomic, environmental, and health-related factors associated with influenza burden.
Main Methods:
- Utilized daily hospital discharge records from California, Georgia, and New York (2005-2018) to assess community influenza activity.
- Employed quasi-Poisson time-series models to estimate influenza-attributable respiratory ED visit rates, controlling for temporal trends and environmental variables.
- Applied Bayesian spatial models to explore associations between influenza burden and county-level socioeconomic status, environmental exposures (PM2.5, humidity, temperature), and chronic disease prevalence.
Main Results:
- Influenza-attributable respiratory ED visit rates varied significantly by state, with Georgia (547/100,000) experiencing the highest burden, followed by California (232/100,000) and New York (226/100,000).
- Increased poverty and uninsured rates were associated with higher influenza burden. A 10% rise in these factors correlated with substantial increases in ED visit rates.
- Environmental factors like PM2.5, humidity, and temperature, along with chronic conditions (stroke, COPD, diabetes), showed positive associations with influenza-attributable ED visits, though these weakened after accounting for socioeconomic status.
Conclusions:
- Influenza-attributable respiratory ED visit rates display considerable spatial heterogeneity across counties.
- County-level socioeconomic factors, environmental exposures, and the prevalence of chronic diseases are significantly associated with the spatial distribution of influenza burden.
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