Learning epidemic trajectories through Kernel Operator Learning: from modelling to optimal control

no code implementations • 17 Apr 2024 • Giovanni Ziarelli, Nicola Parolini, Marco Verani

Since infectious pathogens start spreading into a susceptible population, mathematical models can provide policy makers with reliable forecasts and scenario analyses, which can be concretely implemented or solely consulted.

Operator learning

Modelling the COVID-19 epidemic and the vaccination campaign in Italy by the SUIHTER model

no code implementations • 22 Dec 2021 • Nicola Parolini, Luca Dede', Giovanni Ardenghi, Alfio Quarteroni

Several epidemiological models have been proposed to study the evolution of COVID-19 pandemic.

SUIHTER: A new mathematical model for COVID-19. Application to the analysis of the second epidemic outbreak in Italy

no code implementations • 9 Jan 2021 • Nicola Parolini, Luca Dede', Paola F. Antonietti, Giovanni Ardenghi, Andrea Manzoni, Edie Miglio, Andrea Pugliese, Marco Verani, Alfio Quarteroni

The COVID-19 epidemic is the last of a long list of pandemics that have affected humankind in the last century.

A Mathematical Dashboard for the Analysis of Italian COVID-19 Epidemic Data

no code implementations • 22 Nov 2020 • Nicola Parolini, Giovanni Ardenghi, Luca Dede', Alfio Quarteroni

An analysis of the COVID-19 epidemic is proposed on the basis of the epiMOX dashboard (publicly accessible at https://www. epimox. polimi. it) that deals with data of the epidemic trends and outbreaks in Italy from late February 2020.