A modeling tool that illustrates how different mitigation strategies can minimize the spread of COVID-19

Because COVID-19 information is constantly changing, it can be very overwhelming. As a result, researchers face the challenging task of understanding how recommendations and testing strategies work together to reduce the risk of COVID-19 in unique environments.

The COVID-19 Testing Impact Calculator solves this problem by bringing together the latest testing strategies into an innovative modeling tool that demonstrates how using masks, implementing contact tracing, limiting unmasked group activities, and testing can minimize the spread of COVID-19.

Learn how the MIT IDSS is addressing the challenges of COVID-19 with data-based approaches.

This project has been funded by the National Institute of Biomedical Imaging and Bioengineering (NIBIB), National Institutes of Health, through the NIH RADxSM Initiative.  NIBIB is not responsible for the contents of this website. 

The National Institutes of Health launched the Rapid Acceleration of Diagnostics (RADx℠) Initiative to speed innovation in the development, commercialization and implementation of technologies for COVID-19 testing.

The COVID-19 Testing Impact Calculator Development Team

Anette Hosoi

Associate Dean of Engineering, MIT, Neil and Jane Pappalardo Professor, Mechanical Engineering, Affiliate member of IDSS

Paul Tessier

Product Development Director, Consortia for Improving Medicine with Innovation & Technology