Covid

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COVID-19 by the Numbers, Models, Big Data, and Reality - April 24th - 25th, 2020
# Lecturer Name Lecture Title
1 Victoria Lopez, Madrit University
A COVID-19 mathematical model based on Flow Networks and SIR.[1]
2 Axel Branderburg, KTH Stockholm Piecewise quadratic growth during the 2019 novel coronavirus epidemic.[2]
3 Alessio Muscillo, University of Sienna
Disease spreading in social networks and unintended consequences of weak social distancing.[3]
4 Marco Paggi, IMT School, Lucca Simulation of Covid-19 epidemic evolution: are compartmental models really predictive?
5 Venkatesha Prasad, Delft University
A simple Stochastic SIR model for COVID-19
6 Ali Nasseri, British Columbia University
Planning as Inference in Epidemiological Dynamic Models
7 Anand Sahasranaman, Imperial College London
Data and models of COVID-19 in India
8 V. K. Jindal, Penjab University COVID-19 – a realistic model for saturation, growth and decay of the India specific disease
9 Sebastian Gonçalves, Physics Institute
Trends and Urban scaling in the COVID-19 pandemic
10 Josimar Chire, ICMC Brasil
Social Sensors to Monitor COVID-19 South American Countries
COVID-19 Forecast and Prediction - May 15th -16th, 2020
# Lecturer Name
Lecture Title
1 David S. Jones, Harvard University History in a Crisis—Lessons for Covid-19
2 Christofer Brandt, Universität Greifswald
Transparent comparison and prediction of corona numbers
3 Gaetano Perone, University of Bergamo An Arima Model to Forecast the Spread and the final size of COVID-2019 Epidemic in Italy
4 Keno Krewer, Max Planck Institute
Time-resolving an ongoing outbreak with Fourier analysis
5 Gerry Killeen, University College Cork
Pushing past the tipping points in containment trajectories of Severe Acute Respiratory Syndrome
Coronavirus 2 (SARS-CoV-2) epidemics: A simple arithmetic rationale for crushing the curve instead of merely flattening it.
6 Michael Li, University of Alberta Why it is difficulty to make accurate predictions of COVID-19 epidemics?
7 V.K. Jindal, Panjab University
COVID-19 Primary and secondary infection as order parameter – a unifying global model.
8 Ashis Das, World Bank
Rapid development of an open-access artificial intelligence decision support tool for CoVID-19 mortality prediction
9 Fulgensia Mbabazi, Busitema University
A Mathematical Model Approach for Prevention and Intervention Measures of the COVID-19 Pandemic in Uganda