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Model estimates of the burden of outpatient visits attributable to influenza in the United States

Overview of attention for article published in BMC Infectious Diseases, November 2016
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  • Above-average Attention Score compared to outputs of the same age (51st percentile)
  • Above-average Attention Score compared to outputs of the same age and source (61st percentile)

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3 patents

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29 Dimensions

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50 Mendeley
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Title
Model estimates of the burden of outpatient visits attributable to influenza in the United States
Published in
BMC Infectious Diseases, November 2016
DOI 10.1186/s12879-016-1939-7
Pubmed ID
Authors

Gonçalo Matias, François Haguinet, Roger L. Lustig, Laurel Edelman, Gerardo Chowell, Robert J. Taylor

Abstract

Although many studies have modelled the national burdens of hospitalizations and deaths due to influenza, few studies have considered the outpatient burden. To fill this gap for the United States (US), we applied traditional statistical modelling approaches to time series derived from large medical claims databases held in the private sector. We accessed ICD-9-coded office visit data extracted from Truven Health Analytics' MarketScan Commercial database covering about one third of the US population <65 years during 2001-2009, and Medicare Supplemental data covering about one fifth of US seniors 65+ during 2006-2009. We extracted weekly time series of visits due to respiratory diagnoses, otitis media (OM), and urinary tract infections (UTI), a "negative control". We used multiple linear regression modelling to estimate age-specific influenza-related excess in office visits. In the <65 year age group, in the 8 pre-pandemic seasons studied and for the broadest defined respiratory outcome, the model attributed an average of ~14.5 M (Standard deviation [SD] across seasons 3.9 million) office visits to influenza (rate of 5,581/100,000 population). Of these, ~80 % of visits occurred in the 5-17 and 18-49 age group. In school children aged 5-17 year olds and adult 18-64 year age groups the majority of visits were due to influenza B, while A/H3N2 explained most visits in children <5 year olds. The model further attributed ~2.2 M OM visits (SD across seasons 790,000) annually to influenza, of which 86 % of these occurred in children <18 years; this indicates that 6.4 % of all infants <2 years and 4.9 % of all toddlers aged 2-4 years in the US have an influenza-attributable outpatient visit with an OM diagnosis. In seniors 65 years and older, our model attributed ~0.7 M (SD across seasons 351,000) respiratory visits to influenza (rate of 1,887/100,000 population). The model identified no significant excess UTI (negative control) visits in most seasons. This is to our knowledge a first study of the outpatient burden of influenza in the US in a large database. The model estimated that 10 % of all children <18 years and 4 % of the entire population <65 years seek outpatient care for respiratory illness attributable to influenza annually. ClinicalTrial.gov, NCT02019732 .

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 50 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 50 100%

Demographic breakdown

Readers by professional status Count As %
Student > Master 8 16%
Student > Ph. D. Student 6 12%
Student > Bachelor 5 10%
Other 4 8%
Researcher 4 8%
Other 8 16%
Unknown 15 30%
Readers by discipline Count As %
Medicine and Dentistry 11 22%
Nursing and Health Professions 7 14%
Pharmacology, Toxicology and Pharmaceutical Science 5 10%
Engineering 2 4%
Agricultural and Biological Sciences 2 4%
Other 5 10%
Unknown 18 36%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 3. This is our high-level measure of the quality and quantity of online attention that it has received. This Attention Score, as well as the ranking and number of research outputs shown below, was calculated when the research output was last mentioned on 09 January 2024.
All research outputs
#7,650,357
of 23,292,144 outputs
Outputs from BMC Infectious Diseases
#2,622
of 7,796 outputs
Outputs of similar age
#115,193
of 313,780 outputs
Outputs of similar age from BMC Infectious Diseases
#82
of 227 outputs
Altmetric has tracked 23,292,144 research outputs across all sources so far. This one is in the 44th percentile – i.e., 44% of other outputs scored the same or lower than it.
So far Altmetric has tracked 7,796 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 10.3. This one has gotten more attention than average, scoring higher than 62% of its peers.
Older research outputs will score higher simply because they've had more time to accumulate mentions. To account for age we can compare this Altmetric Attention Score to the 313,780 tracked outputs that were published within six weeks on either side of this one in any source. This one has gotten more attention than average, scoring higher than 51% of its contemporaries.
We're also able to compare this research output to 227 others from the same source and published within six weeks on either side of this one. This one has gotten more attention than average, scoring higher than 61% of its contemporaries.