On the Origin of Complex Dynamics in Multi-strain Models: Insights for Public Health Intervention Measures

Project description

The next generation of epidemiological models

Mathematics are often employed to address biological questions for real-life systems, such as infectious diseases in real-world settings. Epidemiological models utilise empirical data to extract information on the host-pathogen interactions, but the complexity of this interplay poses a challenge. The key objective of the EU-funded COMPLEXDYNAMICS-PHIM project is to develop the simplest models able to address specific public health questions. Researchers are evaluating the role of host-pathogen interactions, the dynamics of vaccination and the control of vector populations. Collectively, the work will help identify the mechanisms underlying the complexity of infectious diseases, offering an important predictive tool for guiding public intervention.

Fields of science

• medical and health sciences › health sciences › public health
• medical and health sciences › health sciences › infectious diseases
• natural sciences › mathematics › applied mathematics › dynamical systems
• medical and health sciences › basic medicine › pharmacology and pharmacy › pharmaceutical drugs › vaccines

Programme(s)

• H2020-EU.1.3. - EXCELLENT SCIENCE - Marie Skłodowska-Curie Actions Main Programme
• H2020-EU.1.3.2. - Nurturing excellence by means of cross-border and cross-sector mobility

Topic(s)

• MSCA-IF-2017 - Individual Fellowships

Call for proposal

H2020-MSCA-IF-2017

See other projects for this call

Funding Scheme

MSCA-IF-EF-ST - Standard EF

Coordinator

UNIVERSITA DEGLI STUDI DI TRENTO

Net EU contribution

€ 180 277,20

Address

Via Calepina 14
38122 Trento
Italy

Region

Nord-Est › Provincia Autonoma di Trento › Trento

Activity type

Higher or Secondary Education Establishments

Links

Other funding

€ 0,00