We need a smart strategy for vaccination Askat Kuzdeuov data scientist Nazarbayev University

A combined approach of mass testing alongside contact tracing is the most effective way to suppress the spread and impact of the coronavirus, and avoid strong restrictions being implemented, according to new research from the Institute of Smarts Systems and Artificial Intelligence at Nazarbayev University.

Ronan talks to Askat Kuzdeuov a data scientist at the institute of Smarts Systems and Artificial Intelligence at Nazarbayev University about this and more. Askat talks about the research being done on COVID-19, its recent findings, the COVID-19 simulator they developed, and what it does. Askat also mentions where you can get the source code for their COVID-19 simulator, why they used data from Lecco in the Lombardy region, zero covid, contact tracing, and vaccinations.

More about the institute of Smarts Systems and Artificial Intelligence at Nazarbayev University.

The COVID-19 pandemic has emerged as the most severe public health crisis in over a century. As of January 2021, there are more than 100 million cases and 2.1 million deaths. For informed decision making, reliable statistical data and capable simulation tools are needed. Askat Kuzdeuov and his colleagues at the Institute of Smarts Systems and Artificial Intelligence at Nazarbayev University have developed an epidemic simulator that can model the effects of random population testing and contact tracing. Their simulator models individuals as particles with the position, velocity, and epidemic status states on a 2D map and runs an SEIR epidemic model with contact tracing and testing modules.