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Epidemiology

Epidemic spreading is a central issue in a variety of fields. In this context, both epidemic modeling and data collection about contact networks are intensively contributing to development of an accurate computational and theoretical framework to simulate how diseases spread and evolve as well as to the search of efficient immunization and vaccination policies.

However, the lack of a complete description of connectivity maps and the singularities of the transmission mechanisms make the analysis extremely difficult. Much effort should still be invested in the design of efficient and reliable epidemic spreading models that benefits from data of connectivity patterns given by social maps of contacts (directionality, age, gender, etc.). Additionally, much work is needed to understand the dynamics of multi-strain or interacting diseases. Finally, the spreading of TB and similar persistent diseases also needs to be revisited in the light of recent advances of short-cycles diseases.

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