Objective
The project intends to address the risk of emerging viral vector borne diseases in two main categories of arthropods known to transmit important animal and zoonotic diseases: mosquitoes (Aedes and Culex), and Culicoides biting midges. A research proposal targeting potential emerging viral disease risks related to these vectors will be carried out through original and integrated multidisciplinary approaches including:
- Study of virus and microbial communities by next-generation sequencing (NGS) methodsin vectors collected in targeted ecosystems, providing an unprecedented global understanding of the role of the microbial and environmental ecology in virus emergence and transmission. It will also permit the discovery of new potential pathogens and the development of innovative diagnostic methods for surveillance and new tools for intervention strategies;
- Characterization of vector competence mechanisms in selected vector-virus couples, including mosquitoes / Rift Valley fever virus (RVFV) and Culicoides / Schmallenberg virus (SBV) and Orbiviruses;
- Development of vector distribution and disease transmission models;
- Development of better maps of high-risk areas for vector presence, as well as disease emergence and spread taking into account the impact of globalization, including climate changes and intensification of human and animal movements;
- Design of new surveillance frameworks accounting for these new diagnostic methods, new knowledge and risk assessment analyses, for improved strategies of vectors, domestic and wild susceptible species’surveillance by national and regional authorities;
- Improvement of intervention strategies against vector borne diseases;
Owing to this field of investigations, the project has a high potential for industrial and commercial outputs in Europethrough diagnostic kits, vaccines and computational software.
Fields of science (EuroSciVoc)
CORDIS classifies projects with EuroSciVoc, a multilingual taxonomy of fields of science, through a semi-automatic process based on NLP techniques.
CORDIS classifies projects with EuroSciVoc, a multilingual taxonomy of fields of science, through a semi-automatic process based on NLP techniques.
- natural sciencescomputer and information sciencessoftware
- natural sciencesbiological sciencesmicrobiologyvirology
- natural sciencesbiological sciencesecologyecosystems
- medical and health scienceshealth sciencespublic healthepidemiologyzoonosis
- natural sciencesbiological scienceszoologyinvertebrate zoology
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Call for proposal
FP7-KBBE-2013-7-single-stage
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Coordinator
75016 Paris
France
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Participants (16)
08140 Caldes De Montbui Barcelona
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Participation ended
08193 BARCELONA
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GU24 0NF Woking
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SN2 1EU SWINDON WILTSHIRE
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94700 Maisons Alfort
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17493 Greifswald-Insel Riems
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BE2980 Zoersel
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6708 PB Wageningen
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00153 Roma
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75724 PARIS
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64100 Teramo
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10101 Rabat
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3120 Dakar
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21526 Alexandria
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1002 Tunis
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NOUAKCHOTT
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