Random testing in Indiana shows COVID-19 is 6 times deadlier than flu, and 2.8% of the state has been infected

A team of researchers from Indiana University performed random testing for SARS-CoV-2 across the state. The results offer some of the most accurate data to date about important aspects of the virus.

Nir Menachemi, Professor of Health Policy and Management, Indiana University • conversation
July 21, 2020 ~11 min

Tags: health epidemiology public-health coronavirus inequality pandemic statistics sars-cov-2 testing random-sampling antibody-testing indiana rt-pcr covi-19 death-rate

How deadly is COVID-19? A biostatistician explores the question

The COVID-19 death toll in the US is now over 130,000. What do 130,000 fatalities look like? A biostatistician provides some perspective.

Ron Fricker, Professor of Statistics and Associate Dean for Faculty Affairs and Administration, Virginia Tech • conversation
July 10, 2020 ~9 min

Tags: covid-19 coronavirus death statistics flu video deaths biostatistics

Coronavirus: our study suggests more people have had it than previously estimated

Many more people have been infected with coronavirus than the statistics suggest.

Scott McLachlan, Postdoctoral Researcher in Computer Science, Queen Mary University of London • conversation
June 25, 2020 ~7 min

Tags: computer-science covid-19 statistics coronavirus-2020

Herd immunity won’t solve our COVID-19 problem

Without a vaccine, the cost of reaching herd immunity during a pandemic is counted in lives lost, and it won't quickly stop the virus's spread.

Sara Krehbiel, Assistant Professor of Mathematics and Computer Science, Santa Clara University • conversation
June 16, 2020 ~7 min

Tags: mathematics health covid-19 coronavirus death pandemic statistics vaccines herd-immunity

Coronavirus deaths in San Francisco vs. New York: What causes such big differences in cities' tolls?

Why one city suffers significantly more deaths than another isn't always obvious. A simple experiment shows how failing to consider certain factors can point policy makers in the wrong direction.

Brian W. Whitcomb, Associate Professor of Epidemiology, University of Massachusetts Amherst • conversation
June 2, 2020 ~7 min

Tags: health cities covid-19 coronavirus politics policy statistics data population modeling health-policy

Three charts that show where the coronavirus death rate is heading

Three graphs of mortality data tell the story of the direction the UK and the world are heading in after the peak of the coronavirus outbreak.

Danny Dorling, Halford Mackinder Professor of Geography, University of Oxford • conversation
April 27, 2020 ~6 min

Tags: covid-19 coronavirus statistics covid-19-testing covid-19-pandemic mortality

Want to know how many people have the coronavirus? Test randomly

Researchers and public health officials still don't know how widespread nor how deadly the coronavirus really is. Random testing is a way to quickly and easily learn this important information.

Michael Herron, William Clinton Story Remsen '43 Professor of Government and Chair, Program in Quantitative Social Science, Dartmouth College • conversation
April 13, 2020 ~8 min

Tags: public-health covid-19 coronavirus statistics bias testing cdc polling sampling random-sampling

Why coronavirus death rates can't be summed up in one simple number

A lot of numbers are being tossed around about COVID-19 and what to expect in the future. They're being used to make critical public health decisions, but they aren't as simple as they appear.

Jonathan Fuller, Assistant Professor, Department of History and Philosophy of Science, University of Pittsburgh • conversation
April 10, 2020 ~8 min

Tags: health medicine covid-19 coronavirus death policy statistics philosophy social-distancing coronavirus-2020 death-rates

Coronavirus: country comparisons are pointless unless we account for these biases in testing

We need to update models on death rates or introduce truly random testing to understand the true impact of the coronavirus.

Scott McLachlan, Postdoctoral Researcher in Computer Science, Queen Mary University of London • conversation
April 2, 2020 ~8 min

Tags:  computer-science  statistics  testing  coronavirus2020

Page 1 of 1