Our project focuses on the three crucial issues.
1) Medical organizations and personnel don't have enough resources to deal with the COVID-19 pandemic. They feel an immense daily pressure from the public requesting information, asking for COVID-19 tests. Most information is not digital and centrally stored but scattered throughout many paper forms, or in the best cases, stored in outdated desktop software.
2) Most people don’t have access to tests for various reasons but might have some symptoms. That’s why it is impossible to gather information on the actual extent of the coronavirus infected population.
3) Data without location and time is not that valuable for later analytics, especially during pandemics, as well as to plan future actions.
What it does
It provides the public the easiest way to submit and communicate their medical symptoms to the official health organizations (locally and globally).
We want to build the world's biggest free database of COVID-19 symptoms with real-time location intelligence. The collected symptom reports are aggregated according to different criteria (can be specified by health officials).
Based on those reports, with the help of machine learning, we can predict the patterns and locate hotspots of potential new outbreaks, so local and global authorities can plan their activities based on the data. Also, we can create cold zones, where people are safe and without any symptoms or detected cases. With our map overview of the data, health authorities can track, in real-time, the progression of reports and easily visualize all data with heatmaps.
Due to privacy and security concerns of raw data, we can’t show the actual administrator panel. In these images you can see an example of the interface and data analysis.
How we built it
The project is based on the existing GIS Cloud solutions that are adapted for this purpose. GIS Cloud is a proven cloud platform for managing location information in real-time and it is hosted on AWS.
Challenges we ran into
Major challenges are handling and communicating with a 40 person team around the world and translating the application into 29 languages.
We just launched the solution and are now facing the challenge of scaling this to the mass audience. The application is global and is intended for the masses, the more data we receive the better results we can produce. Our strategy is to target local markets (countries) with the help of partners and organizations that have access to media and social channels.
The second challenge is adoption of this solution from the side of health officials. They are the ones that can benefit the most of the collected data as a way to get insights into potentially new outbreaks.
Accomplishments that we're proud of
We are very proud of what we have achieved in such a limited time. From an idea to a deployed product in less than 2 weeks. It is also important to highlight that we managed to assemble experts from around the world, who united in a unique cause. In less than 48 hours of deployment, we already have over 1000 geo-tagged symptom reports!
What we learned
As a team, we’ve learned so much about each other, and during quarantine, in our capital city, we had the strongest earthquake in the last 140 years, so people had to run out of houses and buildings. But we found ways to adapt to this new situation and just keep pushing forward.
What's next for STOP Corona!
STOP Corona! is a crowdsourcing application built on top of a robust platform, connected with multiple location mobile and web applications for various purposes, ready to be deployed within days. These apps allow everything from tracking the medical personnel, having an overview of all hospital capacities in one place (together with geo-location), to data collection and inspection directly in the field, using mobile devices. STOP Corona! App is currently translated into almost 30 languages, but we are working on adding additional languages every day.
Most importantly, we want to enable access to these applications to global and local health authorities, as the tools which can make a real difference in their daily operations, provide accurate and real-time data, and help them efficiently allocate resources and manage the COVID-19 crisis.
Try It out
gis, giscloud, leaflet-vector-layers-postgis, postgresql