Our project was designed to understand how public security decisions to control the virus can affect its behavior based on the decisions of politicians who manage similar cities and towns. Thus meeting the challenge of identifying the patterns between human activity and the cases of COVID-19 having as main factor the political decisions to predict scenarios with different behavior of the virus.
From the beginning, we knew it would be a difficult path because we were unable to program in our team, but we were convinced that even without a strong arm we could achieve a good result. We were inspired to do something that, in addition to generating data, would generate information that would help people in leadership positions who could do something to control the virus.
So we decided to use a simple, but complex approach, but that already used in other scenarios, an analysis report based on existing and tested variables. Just like in a report that analyzes the behavioral profile of an employee in a certain type of environment, with certain types of tasks and leadership, we decided to do one that will analyze the behavior of the virus in a given location and with a certain contagion control decision.
Our biggest problem was the technical part of programming, despite the support of the team in the area, we decided to choose the path that was easier to develop well for the team. The business model and the user experience when using the platform, and we can say that the objective has been achieved.
Prosaec is an online platform that helps authorities in small and medium-sized cities to identify, improve or predict points of disease spread in the face of a pandemic using data analysis.
The system, based on information collected by NASA and national and international experiences, can simulate results and consequences of each decision in your region.
Link para Vídeo: https://www.youtube.com/watch?v=muFfB2n0LmY
- SEDAC data for socioeconomic data;
- BenMAP-CE to calculate the number of deaths and diseases related to air pollution;
- United States Census Bureau for obtaining risk variables, news and research related to COVID-19;
- São João de Meriti City Hall data of the Region's cases;
- IBGE for regional socioeconomic data;