论文标题
一个用于分析意大利共同数据流行数据的数学仪表板
A Mathematical Dashboard for the Analysis of Italian COVID-19 Epidemic Data
论文作者
论文摘要
根据Epimox仪表板（可在https://wwwww.epimox.polimi.it.it上公开访问）对COVID-19-19的流行病进行分析，该数据涉及流行病趋势的数据，并涉及意大利的流行趋势和爆发的数据，从2月下旬开始，我们的分析范围内的几种批准了，并逐渐逐渐欣赏到逐渐鉴定的数据。流行指标。此外，我们还将Epimox仪表板与基于流行病学隔室模型（名为Suihter）的预测工具进行补充，以对不久的将来的流行进化进行预测。
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.
