A new paper from researchers at the Imperial College London estimates prevalence of COVID-19 infections in 11 European countries, as of March 28th. From the paper: In this report, we use a semi-mechanistic Bayesian hierarchical model to attempt to infer the impact of...
A useful app, put together by Harvard research fellow Alison Lynn Hill, lets users explore various “flatten the curve” interventions and compare levels of healthcare resources required in different scenarios. [Use the app here.] [Github here]. Dr. Hill...
University of Melbourne has released an app designed to model how fast COVID-19 might be spreading in various countries, including Australia. See the application here. Code is available on the Github. Associate Professor Ben Phillips explains the model in a blog post:...
For many hospitals, exceeding resources due to high volumes of COVID-19 is not a matter of if, but when. A model from the University of Pennsylvania is helping hospitals predict how close that when might be. [See the app here.] [Github here.] From STAT: CHIME...
A team from the Center for Communicable Disease Dynamics at the Harvard T.H. Chan School of Public Health has designed an app to explore how many COVID-19 cases may exist in areas without widespread testing. The app lets users adjust various parameters, which are then...
A new forecast this week goes against the conventional wisdom that many countries are facing a long, painful recovery from COVID-19. The forecast from Michael Levitt, a Stanford biophysicist who received the Nobel Prize in Chemistry in 2013, focuses on the number of...