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Assessing the use of animal health platforms: user’s needs, preferences and constraints
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  • Juana Bianchini,
  • Xavier Simons,
  • Christel Faes,
  • Gaëlle Nicolas,
  • Aline Vilain,
  • Guy Hendrickx,
  • Claude Saegerman
Juana Bianchini
University of Liège

Corresponding Author:[email protected]

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Xavier Simons
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Christel Faes
Hasselt University
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Gaëlle Nicolas
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Aline Vilain
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Guy Hendrickx
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Claude Saegerman
Universtiy of Liege
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Animal health information systems or risk analysis tools are indispensable not only for animal health surveillance, but also to observe the evolution and risk of disease incursion into a disease-free area. Given their essential function in animal disease prevention, different international and national organizations have created their own aforementioned systems/tools. Moreover, with the increase of technology and data storage, they have become more accessible and widely used by professionals in animal and human health sciences. This study aimed to establish their preferences, needs and constraints in respect of these tools. An online survey was conducted and answered by 213 respondents from 132 countries. The respondents were animal or public health professionals in different employment sectors (mostly in government, research and university institutions) and various fields of competency (highest for animal and public health). The majority of respondents used the animal health information systems frequently and on a weekly basis, with prevention measures of diseases being regarded as the most useful information. Descriptive epidemiology is more used/needed than analytical epidemiology. Risk analysis was performed by the majority of the respondents (70%), using a qualitative approach more than a quantitative or semi-qualitative. The primary objectives was to produce risk assessment and preparedness in areas involving origin and spread of animal diseases. The features most sought after in risk assessment tools were pathways of introduction and spread assessment. The level of satisfaction was higher for the platform which is most used by the respondents. Thus, the platform choice is most likely influenced by its efficiency and functionality. Overall, these results could be taken into consideration when improving an already available platform, or when creating a new efficient tool.
29 Jun 2020Submitted to Transboundary and Emerging Diseases
01 Jul 2020Submission Checks Completed
01 Jul 2020Assigned to Editor
10 Jul 2020Reviewer(s) Assigned
19 Aug 2020Review(s) Completed, Editorial Evaluation Pending
24 Aug 2020Editorial Decision: Revise Major
14 Nov 20201st Revision Received
16 Nov 2020Assigned to Editor
16 Nov 2020Submission Checks Completed
18 Nov 2020Reviewer(s) Assigned
09 Dec 2020Review(s) Completed, Editorial Evaluation Pending
14 Dec 2020Editorial Decision: Revise Minor
17 Dec 20202nd Revision Received
18 Dec 2020Submission Checks Completed
18 Dec 2020Assigned to Editor
20 Dec 2020Review(s) Completed, Editorial Evaluation Pending
20 Dec 2020Editorial Decision: Revise Minor
19 Jan 20213rd Revision Received
20 Jan 2021Submission Checks Completed
20 Jan 2021Assigned to Editor
25 Jan 2021Review(s) Completed, Editorial Evaluation Pending
25 Jan 2021Editorial Decision: Accept
Mar 2022Published in Transboundary and Emerging Diseases volume 69 issue 2 on pages 501-515. 10.1111/tbed.14008