This project has been funded by the National Institute of Biomedical Imaging and Bioengineering, National Institutes of Health, through the NIH RADx® Initiative.

None of us want to spread the coronavirus to our friends, families, colleagues, or community. With COVID-19 information constantly changing, how do you know when you need to get tested in order to stop the spread?

The When To Test Calculator for Individuals helps support your decision-making process. 

You tell the Calculator:

  • The number of people you’ve been in contact with during the past week
  • The number of people you plan to be in contact with during the coming week

The When To Test Calculator for Individuals combines that information with other inputs and information about the COVID-19 situation in your area and lets you know if you need to get tested.

HELP REDUCE THE SPREAD OF COVID-19 IN YOUR COMMUNITY

GET TESTED WHEN YOU NEED IT

This project has been funded by the National Institute of Biomedical Imaging and Bioengineering, National Institutes of Health, through the NIH RADx® Initiative.

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 When To Test 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.

For those interested in the model behind the Calculator, the article Simple Control for Complex Pandemics: The Impact of Testing and Contact Tracing on Heterogeneous Networks presents the model in detail.  The short video below also explains how the Calculator was developed and the science behind it.

LEARN HOW THE MIT IDSS
IS ADDRESSING THE
CHALLENGES OF COVID-19

THE DEVELOPMENT TEAM

ANETTE ‘PEKO’ HOSOI

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

PAUL TESSIER

Chief Operating Officer,
Consortia for Improving Medicine with Innovation & Technology

NANCY GAGLIANO, MD

RADx Tech, Core Implementation Lead

SUSAN M. MOREIRA

RADx Tech, Education Lead

SARAH FAY

Graduate Student at MIT

BERNARDO GARCIA

Graduate Student at MIT

XINYU MAO

Graduate Student at MIT

This project has been funded by the National Institute of Biomedical Imaging and Bioengineering (NIBIB), National Institutes of Health, through the NIH RADx® 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.