A new way to accurately estimate COVID-19 death toll

4 years ago
Anonymous $9CO2RSACsf

https://www.sciencedaily.com/releases/2020/04/200430091256.htm

"Based on data available on April 28, the model showed that the COVID-19 pandemic might be over in the United States, meaning no more American deaths, by around late June 2020," said Hoang Pham, a distinguished professor in the Department of Industrial and Systems Engineering in the School of Engineering at Rutgers University-New Brunswick. "But if testing and contact tracing strategies, social-distancing policies, reopening of community strategies or stay-at-home policies change significantly in the coming days and weeks, the predicted death toll will also change."

The model, detailed in a study published in the journal Mathematics, predicted the death toll would eventually reach about 68,120 in the United States as a result of the SARS-CoV-2 coronavirus that causes COVID-19. That's based on data available on April 28, and there was high confidence (99 percent) the expected death toll would be between 66,055 and 70,304.

A new way to accurately estimate COVID-19 death toll

Apr 30, 2020, 7:35pm UTC
https://www.sciencedaily.com/releases/2020/04/200430091256.htm > "Based on data available on April 28, the model showed that the COVID-19 pandemic might be over in the United States, meaning no more American deaths, by around late June 2020," said Hoang Pham, a distinguished professor in the Department of Industrial and Systems Engineering in the School of Engineering at Rutgers University-New Brunswick. "But if testing and contact tracing strategies, social-distancing policies, reopening of community strategies or stay-at-home policies change significantly in the coming days and weeks, the predicted death toll will also change." > The model, detailed in a study published in the journal Mathematics, predicted the death toll would eventually reach about 68,120 in the United States as a result of the SARS-CoV-2 coronavirus that causes COVID-19. That's based on data available on April 28, and there was high confidence (99 percent) the expected death toll would be between 66,055 and 70,304.