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Experiences in Participatory Surveillance and Community-based Reporting Systems for H5N1 Highly Pathogenic Avian Influenza: A Case Study Approach

Overview of attention for article published in EcoHealth, March 2014
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About this Attention Score

  • Good Attention Score compared to outputs of the same age (67th percentile)
  • Good Attention Score compared to outputs of the same age and source (75th percentile)

Mentioned by

policy
1 policy source
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1 X user
facebook
1 Facebook page

Citations

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29 Dimensions

Readers on

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108 Mendeley
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Title
Experiences in Participatory Surveillance and Community-based Reporting Systems for H5N1 Highly Pathogenic Avian Influenza: A Case Study Approach
Published in
EcoHealth, March 2014
DOI 10.1007/s10393-014-0916-0
Pubmed ID
Authors

Jeffrey C. Mariner, Bryony A. Jones, Saskia Hendrickx, Ihab El Masry, Yilma Jobre, Christine C. Jost

Abstract

Participatory surveillance (PS) is the application of participatory rural appraisal methods to the collection of epidemiological information to inform decision-making and action. It was applied in Africa and Asia as part of emergency programs to address the H5N1 highly pathogenic avian influenza (HPAI) pandemic. The approach resulted in markedly increased case detection in countries experiencing HPAI, and a better understanding of the epidemiological situation. Where HPAI was absent and PS was implemented, the method did not result in false positives and contributed to the overall epidemiological assessment that the country was free of disease. It was noted that clarity of surveillance objectives and resulting data needs at the outset was essential to optimize the balance of surveillance methods, size of the program and costs. The quality of training programs and adherence to international guidelines on good PS training practice were important for assuring the competence of PS practitioners. Orientation of senior decision-makers was an important step in assuring effective program management and appropriate use of results. As a problem-solving methodology, PS is best used to rapidly assess situations and inform strategy. Several countries continued PS after the end of projects and went on to apply PS to other health challenges.

X Demographics

X Demographics

The data shown below were collected from the profile of 1 X user 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 108 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Bangladesh 1 <1%
Switzerland 1 <1%
Kenya 1 <1%
Brazil 1 <1%
India 1 <1%
Poland 1 <1%
Unknown 102 94%

Demographic breakdown

Readers by professional status Count As %
Researcher 26 24%
Student > Master 15 14%
Student > Ph. D. Student 14 13%
Other 6 6%
Student > Bachelor 5 5%
Other 19 18%
Unknown 23 21%
Readers by discipline Count As %
Medicine and Dentistry 19 18%
Agricultural and Biological Sciences 17 16%
Veterinary Science and Veterinary Medicine 11 10%
Social Sciences 7 6%
Nursing and Health Professions 4 4%
Other 24 22%
Unknown 26 24%
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 24 February 2016.
All research outputs
#8,262,193
of 26,017,215 outputs
Outputs from EcoHealth
#381
of 756 outputs
Outputs of similar age
#73,885
of 240,990 outputs
Outputs of similar age from EcoHealth
#4
of 16 outputs
Altmetric has tracked 26,017,215 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 756 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 15.6. This one is in the 47th percentile – i.e., 47% of its peers scored the same or lower than it.
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 240,990 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 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 75% of its contemporaries.