A mathematical dashboard for the analysis of Italian COVID-19 epidemic data.

Nicola ParoliniGiovanni Ardenghi Luca DedèAlfio Quarteroni

Published in: International journal for numerical methods in biomedical engineering (2021)

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. Our analysis provides an immediate appreciation of the past epidemic development, together with its current trends by fostering a deeper interpretation of available data through several critical epidemic indicators. In addition, we complement the epiMOX dashboard with a predictive tool based on an epidemiological compartmental model, named SUIHTER, for the forecast on the near future epidemic evolution.

Keyphrases

coronavirus disease
sars cov
electronic health record
big data
machine learning
data analysis
current status