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Annual economic impacts of seasonal influenza on US counties: Spatial heterogeneity and patterns

Overview of attention for article published in International Journal of Health Geographics, May 2012
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About this Attention Score

  • In the top 25% of all research outputs scored by Altmetric
  • High Attention Score compared to outputs of the same age (95th percentile)
  • High Attention Score compared to outputs of the same age and source (87th percentile)

Mentioned by

news
2 news outlets
twitter
7 X users
facebook
2 Facebook pages
googleplus
1 Google+ user
video
1 YouTube creator

Citations

dimensions_citation
41 Dimensions

Readers on

mendeley
87 Mendeley
citeulike
1 CiteULike
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Title
Annual economic impacts of seasonal influenza on US counties: Spatial heterogeneity and patterns
Published in
International Journal of Health Geographics, May 2012
DOI 10.1186/1476-072x-11-16
Pubmed ID
Authors

Liang Mao, Yang Yang, Youliang Qiu, Yan Yang

Abstract

Economic impacts of seasonal influenza vary across US counties, but little estimation has been conducted at the county level. This research computed annual economic costs of seasonal influenza for 3143 US counties based on Census 2010, identified inherent spatial patterns, and investigated cost-benefits of vaccination strategies. The computing model modified existing methods for national level estimation, and further emphasized spatial variations between counties, in terms of population size, age structure, influenza activity, and income level. Upon such a model, four vaccination strategies that prioritize different types of counties were simulated and their net returns were examined. The results indicate that the annual economic costs of influenza varied from $13.9 thousand to $957.5 million across US counties, with a median of $2.47 million. Prioritizing vaccines to counties with high influenza attack rates produces the lowest influenza cases and highest net returns. This research fills the current knowledge gap by downscaling the estimation to a county level, and adds spatial variability into studies of influenza economics and interventions. Compared to the national estimates, the presented statistics and maps will offer detailed guidance for local health agencies to fight against influenza.

X Demographics

X Demographics

The data shown below were collected from the profiles of 7 X users who shared this research output. Click here to find out more about how the information was compiled.
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Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 87 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 3 3%
Unknown 84 97%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 15 17%
Student > Bachelor 14 16%
Researcher 12 14%
Student > Master 12 14%
Student > Doctoral Student 4 5%
Other 11 13%
Unknown 19 22%
Readers by discipline Count As %
Medicine and Dentistry 11 13%
Agricultural and Biological Sciences 10 11%
Social Sciences 6 7%
Biochemistry, Genetics and Molecular Biology 6 7%
Economics, Econometrics and Finance 6 7%
Other 25 29%
Unknown 23 26%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 25. 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 24 January 2023.
All research outputs
#1,520,550
of 25,374,647 outputs
Outputs from International Journal of Health Geographics
#51
of 654 outputs
Outputs of similar age
#8,490
of 176,744 outputs
Outputs of similar age from International Journal of Health Geographics
#2
of 16 outputs
Altmetric has tracked 25,374,647 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 94th percentile: it's in the top 10% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 654 research outputs from this source. They typically receive more attention than average, with a mean Attention Score of 9.7. This one has done particularly well, scoring higher than 92% 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 176,744 tracked outputs that were published within six weeks on either side of this one in any source. This one has done particularly well, scoring higher than 95% of its contemporaries.
We're also able to compare this research output to 16 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 87% of its contemporaries.