Chapter title |
Prioritization of High Consequence Viruses to Improve European Laboratory Preparedness for Cross-Border Health Threats
|
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Chapter number | 152 |
Book title |
Emerging and Re-emerging Viral Infections
|
Published in |
Advances in experimental medicine and biology, January 2016
|
DOI | 10.1007/5584_2016_152 |
Pubmed ID | |
Book ISBNs |
978-3-31-952484-9, 978-3-31-952485-6
|
Authors |
Carla Nisii, Roland Grunow, Andreas Brave, Giuseppe Ippolito, Daniela Jacob, Pontus Jureen, Barbara Bartolini, Antonino Di Caro, the EMERGE Viral Pathogens Working Group |
Abstract |
Highly infectious diseases can spread rapidly across borders through travel or trade, and international coordination is essential to a prompt and efficient response by public health laboratories. Therefore, developing strategies to identify priorities for a rational allocation of resources for research and surveillance has been the focus of a large body of research in recent years. This paper describes the activities and the strategy used by a European-wide consortium funded by the European Commission, named EMERGE (Efficient response to highly dangerous and emerging pathogens at EU level), for the selection of high-threat pathogens with cross-border potential that will become the focus of its preparedness activities. The approach used is based on an objective scoring system, a close collaboration with other networks dealing with highly infection diseases, and a diagnostic gaps analysis. The result is a tool that is simple, objective and adaptable, which will be used periodically to re-evaluate activities and priorities, representing a step forward towards a better response to infectious disease emergencies. |
Mendeley readers
Geographical breakdown
Country | Count | As % |
---|---|---|
Unknown | 24 | 100% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Researcher | 5 | 21% |
Student > Bachelor | 4 | 17% |
Other | 2 | 8% |
Student > Ph. D. Student | 2 | 8% |
Student > Master | 2 | 8% |
Other | 4 | 17% |
Unknown | 5 | 21% |
Readers by discipline | Count | As % |
---|---|---|
Medicine and Dentistry | 5 | 21% |
Social Sciences | 4 | 17% |
Agricultural and Biological Sciences | 2 | 8% |
Immunology and Microbiology | 2 | 8% |
Computer Science | 1 | 4% |
Other | 5 | 21% |
Unknown | 5 | 21% |