Apps in this category may contain mild or occasional cartoon, fantasy or real-life violence, as well as occasional or mild adult, sexually suggestive or horrifying content and may not be suitable for children under 9 years of age.

12+

Apps in this category may contain occasional mild indecent language, frequent or intense cartoon or real-life violence, minor or occasional adult or sexually suggestive material, and simulated gambling, and may be for children under 12 years of age.

17+

You must be at least 17 years old to access this App.

Apps in this category may contain frequent and intense offensive language; Frequent and intense cartoon, fantasy or realistic violence: frequent and intense adult, scary and sexually suggestive subjects: as well as sexual content, nudity, tobacco, alcohol and drugs, may not be suitable for children under 17 years of age.

Covid Nearby Screenshots

iPad

iPhone

About Covid Nearby

COVID Nearby is a secure and privacy-protecting data platform to identify and track the spread of COVID-19. People can anonymously and securely report their location and health symptoms, and use the interactive map 一 which guarantees differential privacy 一 to see the spread of COVID-19 in their communities.

Why should you use it?

COVID Nearby empowers you to generate information that is crucial to fight COVID-19. Even a few thousand responses can help track the spread. Your participation is vital to win this fight.

Why this effort?

COVID Nearby is the only platform that provides differential privacy 一 a strong mathematical guarantee regarding your privacy. So when the insights about the pandemic are released, your privacy is protected.

Who built it?

COVID Nearby was built by the Rutgers Institute of Data Science, Learning, and Applications with support from the National Science Foundation (NSF) and National Institute of Health (NIH).

The team includes scientists from the Rutgers School of Public Health, Rutgers Business School, and the Rutgers School of Communication and Information. The team’s expertise is in epidemiology, behavioral analysis, and data privacy.