9th Webinar COVID-19: Forecast and Prediction, January 22nd - 23rd, 2021.

Lecturer Name Lecture Title

1 Emil J. Bergholtz, Stockholm University, Sweden
  Synchronization in Epidemic Growth and the Impossibility of Selective Containment.

2 Corrado Spinella, National Research Council of Italy
  Phenomenological description and future scenarios of the spread of Covid-19 infection in Italy.

3 Wibke Bayer, University of Duisburg-Essen, Germany
  Symptom-based Prediction Model of SARS-CoV-2 Infection.

4 Julie Rowlett, Chalmers University of Technology, Sweden
  Influencing Decisions and Fighting Disease

5 Max von Kleist, Robert Koch Institut, Germany
  COVIDStrategyCalculator: A Software to Assess Non-pharmaceutic SARS-CoV-2 Containment Strategies.

6 Benjamin Roche, Research Institute for Development Montpellier, France
  Rational social distancing and the spread of COVID-19 in France.

7 Arne Elofsson, SciLifeLab, Stockholm University, Sweden
  Baysian (and Other Types) of Models for Understanding the Spread of COVID-19.

8 Torbjörn Lundh, Chalmers University of Technology, Sweden
  Predicting Regional COVID-19 Hospital Admissions in Sweden Using Mobility Data.

9 Fabina Zama, University of Bolonia, Italy
  Monitoring COVID-19 Spread by Forced SEIRD Models

10 Valerio D'Alessandro, Università Politecnica delle Marche, Italy
   Modelling of Respiratory Droplets Produced by Coughing in Relation to SARS-Cov-2 Transmission.

11 Jaroslav Ilnytskyi, National Academy of Sciences, Ukraine
   The SEIRS Compartment Epidemiology Model for Description of COVID-19 Spread: Analytic and Numeric Study.

12 Kernel Prieto,Universidad Nacional Autónoma de México, México
  Current Forecast of COVID-19 in Mexico: a Bayesian and Machine Learning Approaches