Project description
Analytical platform for prioritisation of monoclonal antibodies and vaccines against antimicrobial resistance
Antimicrobial resistance (AMR) represents a major threat to human health and is increasing in all bacteria due to antibiotic-induced selection, transfer via genetic mobile elements, global transport, and environmental waste. To support the development of monoclonal antibodies and vaccines to fight against AMR, the EU/EFPIA-funded PrIMAVeRa aims to develop a web-based platform that combines mathematic modelling with a comprehensive epidemiological repository. Systematic updates will generate data to potentially enable the selection of suitable models for determining the AMR burden by pathogen, infection, target population and evaluate the effect of monoclonal antibodies and vaccines. Aspects of AMR will be explored by deterministic continuous-time models and stochastic discrete-time individual-based models with multiple modules. Bayesian analysis will be used for the economics assessment.
Objective
Antibiotic resistance (AMR), a major threat to human health, is increasing in all bacteria through antibiotic-induced selection, cross-species transfer of genetic mobile elements harbouring resistance genes, global transport and environmental waste. With an almost empty antibiotic pipeline, monoclonal antibodies (mAbs) and vaccines are increasingly recognized as important tools against AMR. Yet, available resources cannot finance all potential interventions, and choices need to be made according to costs of mAbs and vaccines, impact on the burden of AMR and prevention of its economic consequences. The PrIMAVeRa consortium will develop a web-based platform that combines advanced mathematical models with a comprehensive epidemiological repository. Systematic reviews will generate data to inform the model structure and parametrisation and select the most appropriate models for determining the AMR burden by pathogen, infection and target population. Deterministic continuous time models (ordinary differential equations [ODE]) and stochastic discrete time individual-based models with multiple modules will cover all relevant aspects of AMR, while Bayesian approaches will be used for cost-effectiveness analysis. The models will be calibrated in 8 EU countries based on the data coming from health information systems. The PrIMAVeRa consortium comprises a prominent collection of European research groups with expertise in AMR, vaccines, mAbs, mathematical and economical modelling. The proposal builds on established research collaborations and existing research infrastructures from EU- and IMI-funded research projects, such as EPI-Net (COMBACTE-MAGNET) and CLIN-Net and LAB-Net (COMBACTE-NET). The major deliverable will be an open access web-based user interface that will allow the wider scientific community to freely access and apply the models. This platform will also help healthcare authorities to make data-driven decisions on which vaccines and mAbs should be prioritised.
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. See: The European Science Vocabulary.
CORDIS classifies projects with EuroSciVoc, a multilingual taxonomy of fields of science, through a semi-automatic process based on NLP techniques. See: The European Science Vocabulary.
- natural sciences biological sciences microbiology bacteriology
- medical and health sciences basic medicine pharmacology and pharmacy pharmaceutical drugs vaccines
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Keywords
Project’s keywords as indicated by the project coordinator. Not to be confused with the EuroSciVoc taxonomy (Fields of science)
Project’s keywords as indicated by the project coordinator. Not to be confused with the EuroSciVoc taxonomy (Fields of science)
Programme(s)
Multi-annual funding programmes that define the EU’s priorities for research and innovation.
Multi-annual funding programmes that define the EU’s priorities for research and innovation.
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H2020-EU.3.1. - SOCIETAL CHALLENGES - Health, demographic change and well-being
MAIN PROGRAMME
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H2020-EU.3.1.7. - Innovative Medicines Initiative 2 (IMI2)
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Topic(s)
Calls for proposals are divided into topics. A topic defines a specific subject or area for which applicants can submit proposals. The description of a topic comprises its specific scope and the expected impact of the funded project.
Calls for proposals are divided into topics. A topic defines a specific subject or area for which applicants can submit proposals. The description of a topic comprises its specific scope and the expected impact of the funded project.
Funding Scheme
Funding scheme (or “Type of Action”) inside a programme with common features. It specifies: the scope of what is funded; the reimbursement rate; specific evaluation criteria to qualify for funding; and the use of simplified forms of costs like lump sums.
Funding scheme (or “Type of Action”) inside a programme with common features. It specifies: the scope of what is funded; the reimbursement rate; specific evaluation criteria to qualify for funding; and the use of simplified forms of costs like lump sums.
RIA - Research and Innovation action
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Call for proposal
Procedure for inviting applicants to submit project proposals, with the aim of receiving EU funding.
Procedure for inviting applicants to submit project proposals, with the aim of receiving EU funding.
(opens in new window) H2020-JTI-IMI2-2020-23-two-stage
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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.
69115 Heidelberg
Germany
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.