Seminar

Community Venue Exposure Risk Estimator for the COVID-19 Pandemic

November 5, 2020
 at 
3:00 pm
EST
Research from George Mason University looks at community venue risk exposure for COVID-19.

Ziheng Sun (George Mason University) and team propose a new index based on birthday paradox algorithm and venue traffic data to act as an alternative to contact tracing. Experiments on the data of the past months has proven that the score successfully warns early signs of outbreaks in COVID hot spots like Navajo Nation, New York, Georgia and Louisiana. Spatial correlation analysis shows the proposed score has significant positive relationship with new cases in next two weeks, and the correlation becomes stronger in the reopening stage.

Research from George Mason University looks at community venue risk exposure for COVID-19.

Ziheng Sun (George Mason University) and team propose a new index based on birthday paradox algorithm and venue traffic data to act as an alternative to contact tracing. Experiments on the data of the past months has proven that the score successfully warns early signs of outbreaks in COVID hot spots like Navajo Nation, New York, Georgia and Louisiana. Spatial correlation analysis shows the proposed score has significant positive relationship with new cases in next two weeks, and the correlation becomes stronger in the reopening stage.

Speakers
Research from George Mason University looks at community venue risk exposure for COVID-19.

Ziheng Sun (George Mason University) and team propose a new index based on birthday paradox algorithm and venue traffic data to act as an alternative to contact tracing. Experiments on the data of the past months has proven that the score successfully warns early signs of outbreaks in COVID hot spots like Navajo Nation, New York, Georgia and Louisiana. Spatial correlation analysis shows the proposed score has significant positive relationship with new cases in next two weeks, and the correlation becomes stronger in the reopening stage.

Speakers
Seminar

Community Venue Exposure Risk Estimator for the COVID-19 Pandemic

November 5, 2020
 at 
3:00 pm
EST

Seminar

Research from George Mason University looks at community venue risk exposure for COVID-19.

November 5, 2020
 at 
3:00 pm
EST

Ziheng Sun (George Mason University) and team propose a new index based on birthday paradox algorithm and venue traffic data to act as an alternative to contact tracing. Experiments on the data of the past months has proven that the score successfully warns early signs of outbreaks in COVID hot spots like Navajo Nation, New York, Georgia and Louisiana. Spatial correlation analysis shows the proposed score has significant positive relationship with new cases in next two weeks, and the correlation becomes stronger in the reopening stage.

Speakers

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