↓ Skip to main content

Socioeconomic determinants of geographic disparities in campylobacteriosis risk: a comparison of global and local modeling approaches

Overview of attention for article published in International Journal of Health Geographics, October 2012
Altmetric Badge

About this Attention Score

  • Good Attention Score compared to outputs of the same age (67th percentile)
  • Average Attention Score compared to outputs of the same age and source

Mentioned by

policy
1 policy source
facebook
1 Facebook page

Citations

dimensions_citation
23 Dimensions

Readers on

mendeley
83 Mendeley
You are seeing a free-to-access but limited selection of the activity Altmetric has collected about this research output. Click here to find out more.
Title
Socioeconomic determinants of geographic disparities in campylobacteriosis risk: a comparison of global and local modeling approaches
Published in
International Journal of Health Geographics, October 2012
DOI 10.1186/1476-072x-11-45
Pubmed ID
Authors

Jennifer Weisent, Barton Rohrbach, John R Dunn, Agricola Odoi

Abstract

Socioeconomic factors play a complex role in determining the risk of campylobacteriosis. Understanding the spatial interplay between these factors and disease risk can guide disease control programs. Historically, Poisson and negative binomial models have been used to investigate determinants of geographic disparities in risk. Spatial regression models, which allow modeling of spatial effects, have been used to improve these modeling efforts. Geographically weighted regression (GWR) takes this a step further by estimating local regression coefficients, thereby allowing estimations of associations that vary in space. These recent approaches increase our understanding of how geography influences the associations between determinants and disease. Therefore the objectives of this study were to: (i) identify socioeconomic determinants of the geographic disparities of campylobacteriosis risk (ii) investigate if regression coefficients for the associations between socioeconomic factors and campylobacteriosis risk demonstrate spatial variability and (iii) compare the performance of four modeling approaches: negative binomial, spatial lag, global and local Poisson GWR.

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 83 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Czechia 1 1%
Canada 1 1%
Unknown 81 98%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 16 19%
Researcher 16 19%
Student > Doctoral Student 11 13%
Student > Master 8 10%
Student > Bachelor 4 5%
Other 14 17%
Unknown 14 17%
Readers by discipline Count As %
Medicine and Dentistry 15 18%
Social Sciences 10 12%
Agricultural and Biological Sciences 7 8%
Environmental Science 5 6%
Computer Science 4 5%
Other 21 25%
Unknown 21 25%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 4. 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 01 January 2014.
All research outputs
#7,174,562
of 22,681,577 outputs
Outputs from International Journal of Health Geographics
#244
of 627 outputs
Outputs of similar age
#54,501
of 173,661 outputs
Outputs of similar age from International Journal of Health Geographics
#3
of 5 outputs
Altmetric has tracked 22,681,577 research outputs across all sources so far. This one has received more attention than most of these and is in the 67th percentile.
So far Altmetric has tracked 627 research outputs from this source. They typically receive more attention than average, with a mean Attention Score of 9.3. This one has gotten more attention than average, scoring higher than 59% 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 173,661 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 67% of its contemporaries.
We're also able to compare this research output to 5 others from the same source and published within six weeks on either side of this one. This one has scored higher than 2 of them.