Complex Multilayer Network Lab, University of Padua.

Models

• SI2R model with mobility

Complex Systems Laboratory, Department of Electronics and Telecommunications, Politecnico di Torino. Team: Prof. Alessandro Rizzo, Prof. Lorenzo Zino, Francesco Celino.

Models

• Province-based Flu metapopulation model.

Queen Mary University, Nicola Perra, Yuhan Li.

Models

• ARIMA model.
• Augmented SEIR model
• SEIR model.

We are infectious disease epidemiologists. We develop data-rich mathematical models to study how infectious disease spread in human and animal populations. We have diverse backgrounds encompassing physics, mathematics, computer science, biological sciences. We combine methodologies from all these fields to build theoretical models that process behavioral, mobility, environmental and epidemiological data to understand epidemics, make scenarios, help guide public health interventions. We are part of the Pierre Louis Institute of Epidemiology and Public Health (IPLESP) at the French National Institute of Health and Medical Research (INSERM) and the Faculty of Health of Sorbonne Université. We are based in Paris, France.

Models

• Deep Renewal Equations.

By combining knowledge of the epidemiology of infectious diseases with mathematical and computational modeling, the Center for Health Emergencies develops quantitative epidemiology methods to strengthen epidemiological surveillance in three stages: systematic collection of relevant data (health and other); data analysis and synthesis; dissemination of results.

Models

• Renewal Equation with Seasonal Trend

The ISI Foundation (www.isi.it) is a private research institution located in Turin, Italy. ISI gathers an extensive range of scientific expertise in the areas of computational and digital epidemiology, predictive modelling, epidemic forecasting, measurement of high-resolution contact networks, and in the development of computational frameworks, data integration and visualisation tools, and participatory surveillance platforms.

Models

• FluABCaster.
• Flu Behavioural Forecasting model.
• Global Epidemic and Mobility model.
• Influweb Participatory Surveillance Influenza Forecast.

Marika Sartore, Razieh Masoumi, Chiara Poletto, Department of Molecular Medicine, University of Padova.

Models

• SEEIIRS model