Mathematical and Computational Epidemiology of Infectious diseases – the interplay between models and public health policies

The mathematical and computational modelling of the spread of infectious diseases is a research field that was both able to give an impetum to dynamical systems theory, and to give an important contribution to the epidemiology of infectious diseases. National and International health authorities routinely employ mathematical and computational epidemiology (MCE) in public Health decisions and policies. This influence in biomedicine is unparalleled in any other fields of mathematical biology.

Modern MCE is facing huge challenges, here we mention two. A first major critical issue is human mobility, whose understanding is the clue for predicting pandemics travelling and defining mitigation measures.

On the other hand human behaviour and its relationship with the available information on the evolution of the epidemics is a second unsettled issue. However, many more challenges are being currently explored, and other will surely emerge in next future.

The aim of this international conference is twofold.

The first aim is to illustrate the major areas of research in MCE and the huge variety of tools and approaches that are currently employed. Models of various degrees of complexity are synergistically interplaying in this discipline. They are both needed and complementary, and in this workshop will be both present.

The second and major aim, in line with the great tradition of the International Centre “Ettore Majorana”, is to foster frank peer-to-peer discussion between expert outstanding researchers and more junior investigators as well as PhD students.

The Workshop will be held in Erice, Italy, at the “Ettore Majorana” Centre for Scientific Culture

This is the 65th Conference of the International School of Mathematics “G. Stampacchia”, the first on Mathematical and Computational Epidemiology.

Full scientific details are avaiable here.