ABSTRACT:

COVID-19 has become a pandemic of epic proportion, calling on scientific enquiry from a broad range of disciplines, including biology, chemistry, pharmacology, epidemiology, mathematics, statistics, and data science, among others. As a result, potential solutions to this problem have become highly interdisciplinary. Notwithstanding, statistics and data science have become paramount in the quest for providing evidentiary based answers to a host of scientific problems associated with this novel virus. Among these problems are the issues of vaccine development, development of therapeutics, testing, contract tracing, forecasting, and inferential analysis.  

The effects of the virus have varied greatly from country to country reflecting differences in data reporting, public health infrastructure, politics, economics, social contexts and the role of civil society.  This session will discuss specific statistical issues related to the COVID-19 pandemic and will bring together prominent researchers who will share their experiences from Israel to India to the US.

SPEAKERS:

Danny Pfeffermann
Chief Statistician of Israel and Professor of Statistics
Hebrew University of Jerusalem, ISRAEL & University of Southampton, UK

Bhramar Mukherjee
Chair
Department of Biostatistics, University of Michigan, USA

Daniel Diaz
Research Assistant Professor
Division of Biostatistics, University of Miami, USA

Jeffrey S. Morris
Chair
Division of Biostatistics, University of Pennsylvania, USA