ARTIC 2.0: A broader and deeper toolkit for real-time global pathogen detection, surveillance and outbreak response
- Funded by Wellcome Trust
- Total publications:2 publications
Grant number: 313694/Z/24/Z
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Key facts
Disease
Disease XStart & end year
20252030Known Financial Commitments (USD)
$6,390,682.28Funder
Wellcome TrustPrincipal Investigator
Prof. Nicholas James LomanResearch Location
United KingdomLead Research Institution
University of BirminghamResearch Priority Alignment
N/A
Research Category
Pathogen: natural history, transmission and diagnostics
Research Subcategory
Pathogen genomics, mutations and adaptations
Special Interest Tags
Data Management and Data Sharing
Study Type
Non-Clinical
Clinical Trial Details
N/A
Broad Policy Alignment
Pending
Age Group
Not Applicable
Vulnerable Population
Not applicable
Occupations of Interest
Not applicable
Abstract
The ARTIC network aims to enhance outbreak and epidemic response through real- time viral genome sequencing. Initially developed for high-consequence viruses like Ebola, the ARTIC protocol proved crucial during the COVID-19 pandemic, facilitating rapid SARS-CoV-2 sequencing and global dissemination. For ARTIC 2.0 we will broaden the scope considerably to include endemic human pathogens, arthropod-borne viruses and zoonotic viruses as well as challenging new threats like the spread of AMR. We will enhance our ability to conduct responsive investigations of unusual or concerning changes in the pattern of infectious disease anywhere in the world, by leveraging new tools such as metagenomics. This could be a cluster of hemorrhagic fever of unknown aetiology but equally a spike of incidence in a known endemic arbovirus or childhood viral disease like measles. What links these events is that the investigations have to be sufficiently rapid that the information acquired can lead to effective response. ARTIC 2.0 will create a fully equipped toolbox where a robust, low-cost and accessible set of tools, that make use of the same equipment, reagents and bioinformatics, are ready to be rapidly applied to a wide range of investigations guided by an extensive knowledge base and flexible analysis pipelines.
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