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Early Detection of Emerging Zoonotic Diseases with Animal Morbidity and Mortality Monitoring

Overview of attention for article published in EcoHealth, November 2014
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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 (92nd percentile)
  • High Attention Score compared to outputs of the same age and source (81st percentile)

Mentioned by

news
1 news outlet
policy
1 policy source
twitter
2 tweeters
facebook
2 Facebook pages

Citations

dimensions_citation
9 Dimensions

Readers on

mendeley
52 Mendeley
Title
Early Detection of Emerging Zoonotic Diseases with Animal Morbidity and Mortality Monitoring
Published in
EcoHealth, November 2014
DOI 10.1007/s10393-014-0988-x
Pubmed ID
Authors

Isabelle-Anne Bisson, Benard J. Ssebide, Peter P. Marra

Abstract

Diseases transmitted between animals and people have made up more than 50% of emerging infectious diseases in humans over the last 60 years and have continued to arise in recent months. Yet, public health and animal disease surveillance programs continue to operate independently. Here, we assessed whether recent emerging zoonotic pathogens (n = 143) are known to cause morbidity or mortality in their animal host and if so, whether they were first detected with an animal morbidity/mortality event. We show that although sick or dead animals are often associated with these pathogens (52%), only 9% were first detected from an animal morbidity or mortality event prior to or concurrent with signs of illness in humans. We propose that an animal morbidity and mortality reporting program will improve detection and should be an essential component of early warning systems for zoonotic diseases. With the use of widespread low-cost technology, such a program could engage both the public and professionals and be easily tested and further incorporated as part of surveillance efforts by public health officials.

Twitter Demographics

The data shown below were collected from the profiles of 2 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 52 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 2 4%
Mexico 2 4%
France 1 2%
Switzerland 1 2%
India 1 2%
Unknown 45 87%

Demographic breakdown

Readers by professional status Count As %
Researcher 13 25%
Student > Ph. D. Student 9 17%
Other 6 12%
Student > Master 5 10%
Student > Doctoral Student 5 10%
Other 14 27%
Readers by discipline Count As %
Agricultural and Biological Sciences 26 50%
Medicine and Dentistry 7 13%
Veterinary Science and Veterinary Medicine 5 10%
Unspecified 5 10%
Biochemistry, Genetics and Molecular Biology 3 6%
Other 6 12%

Attention Score in Context

This research output has an Altmetric Attention Score of 18. 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 2017.
All research outputs
#783,511
of 12,562,772 outputs
Outputs from EcoHealth
#51
of 491 outputs
Outputs of similar age
#20,253
of 289,136 outputs
Outputs of similar age from EcoHealth
#3
of 16 outputs
Altmetric has tracked 12,562,772 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 93rd percentile: it's in the top 10% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 491 research outputs from this source. They typically receive more attention than average, with a mean Attention Score of 7.7. This one has done well, scoring higher than 89% 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 289,136 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 92% 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 81% of its contemporaries.