Difference between revisions of "Covid"

Revision as of 06:17, 27 May 2020

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

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 | style="text-align:center;" | 1
-| David S. Jones, Harvard University
+| '''David S. Jones''', Harvard University
 | History in a Crisis—Lessons for Covid-19
 |- style="font-size:12px;"
 | style="text-align:center;" | 2
-| Christofer Brandt, Universität Greifswald<br />
+| '''Christofer Brandt''', Universität Greifswald<br />
 | Transparent comparison and prediction of corona numbers
 |- style="font-size:12px;"