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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, January 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 (85th percentile)

Mentioned by

twitter
8 tweeters
facebook
2 Facebook pages
googleplus
1 Google+ user
video
1 video uploader

Citations

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34 Dimensions

Readers on

mendeley
76 Mendeley
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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, January 2012
DOI 10.1186/1476-072x-11-16
Pubmed ID
Authors

Liang Mao, 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.

Twitter Demographics

The data shown below were collected from the profiles of 8 tweeters who shared this research output. Click here to find out more about how the information was compiled.

Mendeley readers

The data shown below were compiled from readership statistics for 76 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 3 4%
Unknown 73 96%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 15 20%
Student > Bachelor 14 18%
Student > Master 12 16%
Researcher 11 14%
Student > Doctoral Student 4 5%
Other 10 13%
Unknown 10 13%
Readers by discipline Count As %
Medicine and Dentistry 11 14%
Agricultural and Biological Sciences 11 14%
Biochemistry, Genetics and Molecular Biology 6 8%
Social Sciences 6 8%
Economics, Econometrics and Finance 6 8%
Other 22 29%
Unknown 14 18%

Attention Score in Context

This research output has an Altmetric Attention Score of 9. 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 19 January 2021.
All research outputs
#2,853,103
of 18,248,093 outputs
Outputs from International Journal of Health Geographics
#117
of 596 outputs
Outputs of similar age
#19,714
of 135,770 outputs
Outputs of similar age from International Journal of Health Geographics
#1
of 1 outputs
Altmetric has tracked 18,248,093 research outputs across all sources so far. Compared to these this one has done well and is in the 84th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 596 research outputs from this source. They typically receive more attention than average, with a mean Attention Score of 9.0. This one has done well, scoring higher than 80% 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 135,770 tracked outputs that were published within six weeks on either side of this one in any source. This one has done well, scoring higher than 85% of its contemporaries.
We're also able to compare this research output to 1 others from the same source and published within six weeks on either side of this one. This one has scored higher than all of them