Evidence map›Paper›PMID 41468575›Full record

Observational studyJMIR public health and surveillance2025

County-Level Influenza-Attributable Emergency Department Visits and Their Spatial Correlates in the United States: Cross-Sectional Observational Study.

Xucheng Fred Huang, Joshua L Warren, Shuqi Lin, Stefanie Ebelt, Howard H Chang

Abstract readObservational Study
In one paragraph

Observational study in JMIR public health and surveillance, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

1 citing paper in PubMed.

  1. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

5 authors.

Xucheng Fred HuangGangarosa Department of Environmental Health, Rollins School of Public Health, Emory University, Atlanta, GA, United States.ORCID 0009-0001-1918-1548
Joshua L WarrenDepartment of Biostatistics, Yale School of Public Health, Yale University, New Haven, CT, United States.ORCID 0000-0002-6274-6970
Shuqi LinDepartment of Biostatistics, Yale School of Public Health, Yale University, New Haven, CT, United States.ORCID 0009-0009-4016-0029
Stefanie EbeltGangarosa Department of Environmental Health, Rollins School of Public Health, Emory University, Atlanta, GA, United States.ORCID 0000-0003-4713-2337
Howard H ChangGangarosa Department of Environmental Health, Rollins School of Public Health, Emory University, Atlanta, GA, United States.ORCID 0000-0002-6316-1640

Funding

Methods for Estimating Disease Burden of Seasonal InfluenzaR21AI167418 · NIAID · EMORY UNIVERSITY · PI CHANG, HOWARD H, CHEN, YONG · 2023 to 2024
$443k
NIAID NIH HHS R21 AI167418
6 · The paper itself

Abstract

backgroundThe burden of seasonal influenza on emergency department (ED) visits is poorly quantified due to case ascertainment and data availability challenges. This study estimates county-level respiratory ED visits attributable to influenza using time-series models and examines spatial heterogeneity in county-level burden in 3 states.

objectiveThis study aimed to estimate the county-level respiratory ED visits attributable to influenza using time-series models and examine spatial heterogeneity in county-level burden in 3 states.

methodsWe used daily hospital discharge records to measure community-level influenza activity in California (2005-2018), Georgia (2010-2018), and New York (2005-2018). County-level respiratory ED visit rates attributable to influenza were estimated by quasi-Poisson time-series models, adjusting for temporal trends and environmental factors. Bayesian spatial models were used to assess associations with county-level socioeconomic status, environmental exposures, and chronic health condition prevalence.

resultsInfluenza-attributable respiratory ED visit rates per 100,000 population were 226 (95% CI 206-246) in New York, 232 (95% CI 206-259) in California, and 547 (95% CI 506-589) in Georgia. A 10% increase in county-level poverty and uninsured rates was associated with higher influenza burden, increasing influenza-attributable respiratory ED visit rates by 160 (95% credible interval [CrI] 127-196) and 217 (95% CrI 168-265), respectively. Long-term PM

conclusionsInfluenza-attributable respiratory ED visit rates exhibit significant spatial heterogeneity that is associated with county-level socioeconomic factors, environmental exposures, and chronic disease prevalence.

Indexed as

Emergency Service, HospitalInfluenza, HumanAdolescentAdultAgedCaliforniaChildChild, PreschoolCross-Sectional StudiesEmergency Room VisitsFemaleGeorgiaHumansMaleMiddle AgedNew Yorkair pollutionbayesian statisticsenvironmental disparitiesenvironmental epidemiologyinfectious diseasesinfluenza diseasesspatial statistics

Identifiers

PMID41468575
PMCPMC12800733

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.