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Automatica

Modeling the new flu wave using data science and complex networks theory

keywords COMPLEX NETWORKS, EPIDEMIC MODELING, EPIDEMIC SPREADING, MATHEMATICAL MODELING, NETWORKS

Reference persons ALESSANDRO RIZZO, LORENZO ZINO

Research Groups Automatica

Description This thesis will leverage data science, mathematical modeling, and complex networks to produce a computational tool for the on-line prediction of the spread of the 2023-24 seasonal flu in Italy. More precisely, the student will develop a network mathematical model for the spread of flu in Italy that uses available data on human mobility and reported cases to produce the predictions.

Required skills Fundamentals of data analysis, good programming and visualization skills, basic knowledge of network theory constitutes a plus


Deadline 25/08/2024      PROPONI LA TUA CANDIDATURA