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Applying Science: Opportunities to Inform Disease Management Policy with Cooperative Research within a One Health Framework

Overview of attention for article published in Frontiers in Public Health, January 2016
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About this Attention Score

  • Above-average Attention Score compared to outputs of the same age (55th percentile)
  • Good Attention Score compared to outputs of the same age and source (76th percentile)

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Title
Applying Science: Opportunities to Inform Disease Management Policy with Cooperative Research within a One Health Framework
Published in
Frontiers in Public Health, January 2016
DOI 10.3389/fpubh.2015.00276
Pubmed ID
Authors

Jason K. Blackburn, Ian T. Kracalik, Jeanne Marie Fair

Abstract

The ongoing Ebola outbreak in West Africa and the current saiga antelope die off in Kazakhstan each represent very real and difficult to manage public or veterinary health crises. They also illustrate the importance of stable and funded surveillance and sound policy for intervention or disease control. While these two events highlight extreme cases of infectious disease (Ebola) or (possible) environmental exposure (saiga), diseases such as anthrax, brucellosis, tularemia, and plague are all zoonoses that pose risks and present surveillance challenges at the wildlife-livestock-human interfaces. These four diseases are also considered important actors in the threat of biological terror activities and have a long history as legacy biowarfare pathogens. This paper reviews recent studies done cooperatively between American and institutions within nations of the Former Soviet Union (FSU) focused on spatiotemporal, epidemiological, and ecological patterns of these four zoonoses. We examine recent studies and discuss the possible ways in which techniques, including ecological niche modeling, disease risk modeling, and spatiotemporal cluster analysis, can inform disease surveillance, control efforts, and impact policy. Our focus is to posit ways to apply science to disease management policy and actual management or mitigation practices. Across these examples, we illustrate the value of cooperative studies that bring together modern geospatial and epidemiological analyses to improve our understanding of the distribution of pathogens and diseases in livestock, wildlife, and humans. For example, ecological niche modeling can provide national level maps of pathogen distributions for surveillance planning, while space-time models can identify the timing and location of significant outbreak events for defining active control strategies. We advocate for the need to bring the results and the researchers from cooperative studies into the meeting rooms where policy is negotiated and use these results to inform future disease surveillance and control or eradication campaigns.

X Demographics

X Demographics

The data shown below were collected from the profiles of 4 X users who shared this research output. Click here to find out more about how the information was compiled.
Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 84 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Portugal 1 1%
Unknown 83 99%

Demographic breakdown

Readers by professional status Count As %
Student > Master 15 18%
Student > Ph. D. Student 13 15%
Researcher 12 14%
Other 5 6%
Student > Bachelor 4 5%
Other 13 15%
Unknown 22 26%
Readers by discipline Count As %
Veterinary Science and Veterinary Medicine 14 17%
Medicine and Dentistry 11 13%
Agricultural and Biological Sciences 10 12%
Immunology and Microbiology 6 7%
Environmental Science 4 5%
Other 14 17%
Unknown 25 30%
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 08 January 2016.
All research outputs
#7,469,234
of 22,834,308 outputs
Outputs from Frontiers in Public Health
#2,470
of 9,870 outputs
Outputs of similar age
#123,552
of 393,802 outputs
Outputs of similar age from Frontiers in Public Health
#13
of 55 outputs
Altmetric has tracked 22,834,308 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 9,870 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 10.0. This one has gotten more attention than average, scoring higher than 74% 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 393,802 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 55% of its contemporaries.
We're also able to compare this research output to 55 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 76% of its contemporaries.