ArticleInternational journal for numerical methods in biomedical engineering2021
A mathematical dashboard for the analysis of Italian COVID-19 epidemic data.
Article in International journal for numerical methods in biomedical engineering, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.
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Who cites it
7 citing papers in PubMed.
- Review
- Explicit modeling of antibody levels for infectious disease simulations in the context of SARS-CoV-2.iScience · 2023Article
- Optimized numerical solutions of SIRDVW multiage model controlling SARS-CoV-2 vaccine roll out: An application to the Italian scenario.Infectious Disease Modelling · 2023Article
- Modelling the COVID-19 epidemic and the vaccination campaign in Italy by the SUIHTER model.Infectious Disease Modelling · 2022Article
- Real-Time Analysis of Predictors of COVID-19 Infection Spread in Countries in the European Union Through a New Tool.International journal of public health · 2022Article
- A mathematical dashboard for the analysis of Italian COVID-19 epidemic data.International journal for numerical methods in biomedical engineering · 2021Article
- SUIHTER: a new mathematical model for COVID-19. Application to the analysis of the second epidemic outbreak in Italy.Proceedings. Mathematical, physical, and engineering sciences · 2021Article
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4 authors.
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Abstract
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.
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