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Robust Automation and Point of Care IDentification of COVID

Project description

A comprehensive strategy for accurate diagnosis of COVID-19 and other respiratory diseases

COVID-19, the infectious disease caused by the most recently discovered coronavirus, has spread to more than 200 countries worldwide. Detecting and differentiating Sars-CoV-2 from SARS-CoV, which emerged in November 2002, as well as 30 other common respiratory bacteria and viruses, is important. Failure to distinguish different pathogens may lead to unnecessary antimicrobial use, cross-infection of mis-grouped patients and further spreading of infectious disease. The EU-funded RAPID-COVID project will prototype a technique to simultaneously detect and differentiate SARS-CoV-2 and 30 other common respiratory bacteria and viruses. It will allow for accurate, cost-effective and comprehensive diagnoses during the current outbreak as well as for streamlined integration into future routine diagnoses of respiratory diseases.

Objective

As of 30th March 2020, the COVID-19 outbreak had caused over 735,000 infections globally, claiming more than 35,000 lives. By the end of July 2020 these numbers have increased globally to more than 17 millions infections and more than 660,000 lives have been lost due to the disease. Rapid and definitive diagnosis of the specific SARS-CoV-2 is essential, while identifying other common viral and bacterial pathogens is beneficial in the management of treatment and in timely isolation of infected patients with overlapping clinical symptoms.

A recent study has shown that 5.8% of SARS-CoV-2 infected and 18.4% of non-SARS-CoV-2-infected patients had other concurrent pathogen infections. Failure to distinguish different pathogens may lead to unnecessary antimicrobial use, cross-infection of mis-grouped patients and further spreading of the infection. Therefore, in response to the current outbreak, singleplex testing is not optimal, especially considering the virus may become permanently and globally endemic.

Simple, sensitive and multiplex detection of all respiratory pathogens is technically challenging. In response to the need for faster and better detection of multiple respiratory pathogens, GeneFirst has developed a prototype using its innovative proprietary technology - MPA (Multiplex Probe Amplification) - to simultaneously detect and differentiate SARS-CoV-2 as well as 30 other common respiratory bacteria and viruses.

This assay will allow for accurate, cost-effective and comprehensive diagnoses during the current outbreak as well as future routine diagnosis. In this project, the consortium aims to analytically and clinically validate (CE-mark) this assay on two automated platforms for Point-of-Care and core pathology testing. This strategy provides maximum flexibility in screening and triage, allowing better and faster care, alleviating pressures on healthcare systems and improving patient recovery rates. GeneFirst aim to commercialise the assay for £8.50 (€9.00) per test.

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Programme(s)

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Topic(s)

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Funding Scheme

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RIA - Research and Innovation action

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Call for proposal

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(opens in new window) H2020-JTI-IMI2-2020-21-single-stage

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Coordinator

GENEFIRST LIMITED
Net EU contribution

Net EU financial contribution. The sum of money that the participant receives, deducted by the EU contribution to its linked third party. It considers the distribution of the EU financial contribution between direct beneficiaries of the project and other types of participants, like third-party participants.

€ 1 005 687,50
Address
BUILDING E5 CULHAM SCIENCE CENTRE
OX14 3DB Abingdon
United Kingdom

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SME

The organization defined itself as SME (small and medium-sized enterprise) at the time the Grant Agreement was signed.

Yes
Region
South East (England) Berkshire, Buckinghamshire and Oxfordshire Oxfordshire
Activity type
Private for-profit entities (excluding Higher or Secondary Education Establishments)
Links
Total cost

The total costs incurred by this organisation to participate in the project, including direct and indirect costs. This amount is a subset of the overall project budget.

€ 1 005 687,50

Participants (4)

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