Summary: This blog showcases the handling of daily data of cases/deaths from Covid-19 in the U.S. published by the Center for Systems Science and Engineering at Johns… Read More »Johns Hopkins Covid-19 Data and R, Part I — data.table handling.
by Mike Thurber, Principal Scientist, Elder Research A key issue for COVID-19 response policies moving forward is the asymptomatic rate – people who have the… Read More »COVID-19 Asymptomatic Rates and Implications
by Mike Thurber, Principal Scientist, Elder Research The COVID-19 pandemic has created a need for clear and actionable analytics like never before. The world can’t… Read More »Is the Spread of the COVID-19 Coronavirus Being Slowed?
by Peter Bruce, President & Founder, Statistics.com Nearly everyone is now familiar with the IHME Covid-19 forecasts (also called the “Murray” model after the lead… Read More »Covid-19: Epidemiological Models vs. Statistical Models
Data Scientists worldwide are forecasting about COVID Mostly, they are doing excellent work. But still, most forecasts vary widely That’s not to say that they… Read More »Would Bayesian approaches improve COVID-19 forecasts?
Introduction As we see COVID19 affected 1.5M people globally and 100k deaths, the worldwide AI research community are trying help medical community whatever… Read More »COVID19: Question-Answering Model using BioSentVec Embedding
While I was laid off due to the new Coronavirus, I created a computer application called Little Blue Pearl (LBP) – named after our planet.… Read More »Technical Periods of COVID-19 Fatality Data and the Relevance of Asymptotic Baselines
In 1927, W. O. Kermack y A. G. McKendrick described the first mathematical model for infectious diseases using a set of differential equations. This model… Read More »Nonlinear regression of COVID19 infected cases.
Bayesian Model for COVID-19 Spread Prediction At present time, there are different methods, approaches, data sets for for modeling COVID-19 spread [1, 2, 3, 4,… Read More »Bayesian Model for COVID-19 Spread Prediction