The motivational challenges were: the need for citizens to have access to the risk of contagion when having contact with other people; and the underreporting of the numbers of confirmed cases, possible cases and the number of people recovered, due to the scarce number of COVID-19 tests available. Our application provides users with information about having crossed paths with other users who have the virus or the most characteristic symptoms. It also provides the number of individuals infected or with symptoms by region; and the number of individuals who were not confirmed with COVID-19 due to lack of tests, but who have all the characteristic symptoms.
What inspired our team was the fact that one participant had already contracted COVID-19, and reported that if he had the information that he had contact with his possible transmitter, he would have taken more care before being confirmed by the test, and so , would have avoided finding his family and transmitting the virus to his relative.
As an approach, we start from the assumption that the world is not currently prepared for the emergence of infectious diseases, explained by the worldwide pandemic of Coronavirus.
We used the WHO Coronavirus Disease database (COVID-19) Dashboard https://covid19.who.int/ to obtain a base of coronavirus cases on a global scale.
During the hackaton the software was not developed, but a native app will be developed using flutter, with a java backend with spring, using AWS infrastructure, completely scalable and with high availability.
The biggest problem was the idealization of the idea, when we decided the scope, we managed to select which personas will be used by our technology and with that, we analyzed the viability of the idea, seeing that it would have rapid absorption across the globe, improving the life of the whole population.
https://youtu.be/E5u1yIVwojA
We used the WHO Coronavirus Disease database (COVID-19) Dashboard https://covid19.who.int/
to obtain a base of coronavirus cases on a global scale, in order to analyze the statistics and restrict the data to the analyzed sites. that we need. To understand the symptoms of the diseases that will be used as bases in the application, we use the source of the CDC website (Centers of Disease Control and Prevention) https://www.cdc.gov/coronavirus/2019-nCoV/index.html
So to understand the movement pattern of people for the feasibility analysis of the project, we used the World Pop basis for Focus Areas https://www.worldpop.org/focus_areas#case3
Finally, to use API’s and databases for localization, we use the Google Maps website https://www.google.com.br/maps/preview