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Traditional mathematical model may not be the best way to predict spread of COVID-19

Traditional mathematical model may not be the best way to predict spread of COVID-19 A mathematical model that can help project the contagiousness and spread of infectious diseases like the seasonal flu may not be the best way to predict the continuing spread of the novel coronavirus, especially during lockdowns that alter the normal mix of the population, researchers report. Called the R-naught, or basic reproductive number, the model predicts the average number of susceptible people who will be infected by one infectious person. It s calculated using three main factors the infectious period of the disease, how the disease spreads and how many people an infected individual will likely come into contact with.

21 December 2020 Coronavirus Charts and News: COVID Is Mutating The Experts Say The Vaccines Will Still Work But There Is Little Evidence They Know For Sure

The U.S. new cases 7-day rolling average are 0.5 % HIGHER than the 7-day rolling average one week ago. U.S. hospitalizations due to COVID-19 are now 5.0 % HIGHER than the rolling average one week ago. U.S. deaths due to coronavirus are now 8.4 % HIGHER than the rolling average one week ago. Today s posts include: U.S. Coronavirus New Cases are at an elevated 189,099 U.S. Coronavirus deaths are at an elevated 1,509 U.S. Coronavirus hospitalizations are at an elevated 113,663 The 7-day rolling average rate of growth of the pandemic shows new cases improved, hospitalizations improved, and deaths improved U.S. surgeon general: No evidence that U.K. s new COVID-19 strain will affect vaccinations

Traditional model for disease spread may not work in COVID-19

 E-Mail IMAGE: Dr. Arni Rao, a mathematical modeler at the Medical College of Georgia at Augusta University view more  Credit: Kim Ratliff, Augusta University photographer AUGUSTA, Ga. (Dec. 21, 2020) - A mathematical model that can help project the contagiousness and spread of infectious diseases like the seasonal flu may not be the best way to predict the continuing spread of the novel coronavirus, especially during lockdowns that alter the normal mix of the population, researchers report. Called the R-naught, or basic reproductive number, the model predicts the average number of susceptible people who will be infected by one infectious person. It s calculated using three main factors the infectious period of the disease, how the disease spreads and how many people an infected individual will likely come into contact with.

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