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The Value Chain Approach in One Health: Conceptual Framing and Focus on Present Applications and Challenges

Overview of attention for article published in Frontiers in Veterinary Science, December 2017
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  • Good Attention Score compared to outputs of the same age (74th percentile)
  • Good Attention Score compared to outputs of the same age and source (78th percentile)

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1 policy source
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Title
The Value Chain Approach in One Health: Conceptual Framing and Focus on Present Applications and Challenges
Published in
Frontiers in Veterinary Science, December 2017
DOI 10.3389/fvets.2017.00206
Pubmed ID
Authors

Nicolas Antoine-Moussiaux, Marisa Peyre, Pascal Bonnet, Charles Bebay, Mohammed Bengoumi, Astrid Tripodi

Abstract

The value chain (VC) is a major operational concept for socioeconomic analysis at meso level. Widely mobilized in development practice, it is still undergoing conceptual and practical refining, e.g., to take account of environmental and social sustainability. Briefly, VC refers to a system of value creation through the full set of actors, links, technical and commercial activities and flows involved in the provision of a good or service on a market. In the past decade, this concept has been promoted in the management of animal health. In particular, the emergence of highly pathogenic avian influenza (HPAI) has triggered an interdisciplinary dynamic including VC analysis as a central tool. These efforts promoted participatory investigation methods in the analysis of health systems. Using qualitative and quantitative data, these methods acknowledge the usefulness of actors' involvement and knowledge, hence facilitating the transdisciplinarity needed for effective action. They fit into adaptive and action-oriented strategies, fostering stakeholders' participation. Recent research on HPAI surveillance in South-East Asia merged VC and participatory approaches to develop innovative tools for analyzing constraints to information flow. On-going interventions for HPAI prevention and control as well as the prevention of other emerging zoonotic risks in Africa are presently building on this VC framework to develop strategies for its application at national and regional scales. Based on the latter experiences, this article proposes a field-based perspective on VC applications to animal and public health systems, within a One Health approach responding to the overall challenge of complexity.

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The data shown below were collected from the profiles of 5 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 102 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 102 100%

Demographic breakdown

Readers by professional status Count As %
Student > Master 18 18%
Researcher 17 17%
Student > Ph. D. Student 12 12%
Student > Bachelor 6 6%
Librarian 5 5%
Other 14 14%
Unknown 30 29%
Readers by discipline Count As %
Agricultural and Biological Sciences 20 20%
Veterinary Science and Veterinary Medicine 9 9%
Social Sciences 8 8%
Engineering 5 5%
Computer Science 4 4%
Other 22 22%
Unknown 34 33%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 6. 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 May 2021.
All research outputs
#5,782,822
of 23,011,300 outputs
Outputs from Frontiers in Veterinary Science
#939
of 6,320 outputs
Outputs of similar age
#112,984
of 439,919 outputs
Outputs of similar age from Frontiers in Veterinary Science
#15
of 69 outputs
Altmetric has tracked 23,011,300 research outputs across all sources so far. This one has received more attention than most of these and is in the 74th percentile.
So far Altmetric has tracked 6,320 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 6.9. This one has done well, scoring higher than 85% 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 439,919 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 74% of its contemporaries.
We're also able to compare this research output to 69 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 78% of its contemporaries.