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.