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Integrating multidisciplinary frameworks and empirical data to capture transmission dynamics of antibiotic resistance

Project description

New framework to better understand antibiotic resistance

The development of antibiotics transformed the treatment of infectious diseases and has saved millions of lives. However, their widespread and often unnecessary use has accelerated the rise of antibiotic resistance, one of the major public health challenges of our time. Our limited understanding of the mechanisms driving resistance leaves us poorly prepared for future threats. Supported by the Marie Skłodowska-Curie Actions programme, the INFECTAR project will develop a unified framework that integrates ecological and evolutionary processes to explain and predict the spread of infectious diseases and the emergence of antibiotic resistance. Using Neisseria gonorrhoeae as a model system, the project will investigate the complex dynamics of resistance evolution and provide knowledge to support more effective disease control strategies worldwide today.

Objective

INFECTAR (INtegrating multidisciplinary Frameworks and Empirical data to Capture Transmission dynamics of Antibiotic Resistance) addresses the urgent challenge of understanding and predicting the spread of antibiotic resistance. Current approaches remain limited by fragmented data, disciplinary silos, and a lack of integrative frameworks that capture the eco-evolutionary and network processes driving resistance emergence. The project has two main goals. First, it will develop a general eco-evolutionary framework integrating interactions among human hosts, microbes, and mobile genetic elements (MGEs, such as plasmids). This versatile tool will be applicable across infectious diseases. Second, it will apply the framework to disentangle resistance dynamics in Neisseria gonorrhoeae, the bacteria responsible for a major sexually transmitted infection. INFECTAR contains two Work Packages: WP1 builds the framework by combining multilayer network structures (host-microbe-MGE interactions) with eco-evolutionary feedbacks (EEFs), parameterized with experimental, clinical, demographic, and surveillance data. WP2 applies and validates the framework for N. gonorrhoeae, testing predictions against empirical evidence, and disseminating findings to scientific and public health audiences. INFECTAR is innovative in explicitly linking EEFs, multilayer networks, and infection dynamics. Its impact goes beyond theory by fostering interdisciplinary training, open-access tools, and resources for scientists, policymakers, and the public. By bridging ecology, epidemiology, microbiology, and data science, INFECTAR will deliver conceptual advances and practical tools for improved disease monitoring, risk assessment, and public health preparedness.

Fields of science (EuroSciVoc)

Keywords

Programme(s)

Topic(s)

Funding Scheme

HORIZON-TMA-MSCA-PF-EF - HORIZON TMA MSCA Postdoctoral Fellowships - European Fellowships

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Call for proposal

(opens in new window) HORIZON-MSCA-2025-PF

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Coordinator

AGENCIA ESTATAL CONSEJO SUPERIOR DE INVESTIGACIONES CIENTIFICAS
Net EU contribution
€ 209 914,56
Address
CALLE SERRANO 117
28006 Madrid
Spain
Region
Comunidad de Madrid Comunidad de Madrid Madrid
Activity type
Research Organisations
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Total cost
No data

Partners (1)