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Mapping of Networks to Detect Priority Zoonoses in Jordan

Overview of attention for article published in Frontiers in Public Health, October 2015
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  • Good Attention Score compared to outputs of the same age (71st percentile)
  • Good Attention Score compared to outputs of the same age and source (77th percentile)

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6 X users

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Title
Mapping of Networks to Detect Priority Zoonoses in Jordan
Published in
Frontiers in Public Health, October 2015
DOI 10.3389/fpubh.2015.00219
Pubmed ID
Authors

Erin M. Sorrell, Mohammad El Azhari, Nezar Maswdeh, Sarah Kornblet, Claire J. Standley, Rebecca L. Katz, Ibrahim Ablan, Julie E. Fischer

Abstract

Early detection of emerging disease events is a priority focus area for cooperative bioengagement programs. Communication and coordination among national disease surveillance and response networks are essential for timely detection and control of a public health event. Although systematic information sharing between the human and animal health sectors can help stakeholders detect and respond to zoonotic diseases rapidly, resource constraints, and other barriers often prevent efficient cross-sector reporting. The purpose of this research project was to map the laboratory and surveillance networks currently in place for detecting and reporting priority zoonotic diseases in Jordan in order to identify the nodes of communication, coordination, and decision-making where health and veterinary sectors intersect, and to identify priorities and gaps that limit information sharing for action. We selected three zoonotic diseases as case studies: highly pathogenic avian influenza (HPAI) H5N1, rabies, and brucellosis. Through meetings with government agencies and health officials, and desk research, we mapped each system from the index case through response - including both surveillance and laboratory networks, highlighting both areas of strength and those that would benefit from capacity-building resources. Our major findings indicate informal communication exists across sectors; in the event of emergence of one of the priority zoonoses studied, there is effective coordination across the Ministry of Health and Ministry of Agriculture. However, routine formal coordination is lacking. Overall, there is a strong desire and commitment for multi-sectoral coordination in detection and response to zoonoses across public health and veterinary sectors. Our analysis indicates that the networks developed in response to HPAI can and should be leveraged to develop a comprehensive laboratory and surveillance One Health network.

X Demographics

X Demographics

The data shown below were collected from the profiles of 6 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 55 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Serbia 1 2%
Unknown 54 98%

Demographic breakdown

Readers by professional status Count As %
Researcher 10 18%
Student > Master 8 15%
Student > Ph. D. Student 7 13%
Other 5 9%
Lecturer 5 9%
Other 11 20%
Unknown 9 16%
Readers by discipline Count As %
Veterinary Science and Veterinary Medicine 10 18%
Medicine and Dentistry 8 15%
Agricultural and Biological Sciences 7 13%
Nursing and Health Professions 6 11%
Social Sciences 2 4%
Other 10 18%
Unknown 12 22%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 5. 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 16 November 2015.
All research outputs
#6,342,209
of 22,830,751 outputs
Outputs from Frontiers in Public Health
#2,047
of 9,870 outputs
Outputs of similar age
#78,339
of 279,097 outputs
Outputs of similar age from Frontiers in Public Health
#14
of 62 outputs
Altmetric has tracked 22,830,751 research outputs across all sources so far. This one has received more attention than most of these and is in the 72nd percentile.
So far Altmetric has tracked 9,870 research outputs from this source. They typically receive more attention than average, with a mean Attention Score of 10.0. This one has done well, scoring higher than 79% 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 279,097 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 71% of its contemporaries.
We're also able to compare this research output to 62 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 77% of its contemporaries.