App For Infection Prevention
The client is a German non-profit organization that pursues the goal of containing the further outbreak
of the COVID-19 pandemic through geolocation tracking. They were looking for a partner who would help
them bring their ideas and values to life.
Previously the client had been working with another team of developers but was not satisfied with the results. When Embrox stepped in we came across a bunch of bugs and wrong architecture decisions. We got down to work fixing all the bugs and redesigning the architecture as well as implementing our own solutions.
As a result, the app was born. It is a unique mobile application for infection prevention. It determines the risk of infection through geolocation tracking and makes sure you keep a distance.
Within 9 months the Embrox team provided a quick and reliable solution — a crash-free cross-platform
mobile application, a well-working algorithm, as well as a highly loaded backend that handles an immense
number of location updates. On the first day of the app release, there were several thousand downloads.
Having used our professional judgment and experience gathered working on similar projects we created an app that allows the user to determine his individual risk of infection through the geolocation function. Since exposure prevention is one of the most effective means to avoid infection, the app enables the user to stay away from high-risk areas and contacts. An interactive map shows areas with high infection rates that users are to avoid.
The risk of infection is assessed with the traffic light system: based on your state of health, the places you last visited, and your contacts.
Moreover, there is a symptom checker built in the app which asks you about the relevant symptoms. With this information, the app creates the user infection risk profile and health status. Later you can report your symptoms on your own.
The app also offers recommendations based on official sources which allow the user to be up to date about the current epidemiological situation.
Working on this project, as a team we came to the conclusion that for this type of application it is better to use BL / BLE, seeing that the accuracy of GPS modules varies greatly, especially in large cities where there are various obstacles.