Awards & Nominations

Away from the Crowd has received the following awards and nominations. Way to go!

Global Finalist

Human Factors

The emergence and spread of infectious diseases, like COVID-19, are on the rise. Can you identify patterns between population density and COVID-19 cases and identify factors that could help predict hotspots of disease spread?

FIGHT THE PANDEMIC

Summary

The current crisis situation and the collapse of health care system caused by the COVID-19 pandemic has inspired us to create a data-driven decision support solution.Based on population density, nighttime lights, transportation and touristic routes, our project showcases a pattern on how the virus spreads itself. Since we discovered the virus pattern, we can establish its path, predicting the next pandemic epicenter. Knowing the next hotspots, the government, and people in general, can take measures to "flatten the curve".

How We Addressed This Challenge

Our project addresses the Human Factors Challenge.

We seek patterns between the COVID-19 spread and many Human Activity Based Datasets, such as the following:

  •  Population Density,
  •  Nighttime Lights
  •  Use of Transportation
  •  Touristic Routes

Once established such pattern, we can predict future hotspots of the pandemic, as shown on our website: https://fightthepandemic.co/

How We Developed This Project

When the Space Apps COVID-19 Hackathon was released, a group of engineering students from Rio de Janeiro was driven by the desire to make a difference and decided to accept the challenge.

After this, we decided the path we were choosing. We made a brainstorm session to decide our main problem. At this session, each member gave at least 3 ideas, and we choose the ones that made more sense for the group.

We decided that the lack of resources at hospitals was the biggest problem and we knew that a solution would be to perform a preventive approach with early lockdowns and resource allocation, for example.

Thinking about this, we came up with Fight the Pandemic, a platform that would use NASA’s Data to map the disease spread, helping governments and populations on its fight against the virus. 

The team used population density, use of lights, transportation and touristic routes data to create the COVID-19 pattern code.

During the creation process of Fight the Pandemic the team used a lot of tools such as VS Code, to edit the code, CSS and HTML, to effectively code the website. For the spread model, QGIS platform and multiple python libraries were employed. All codes are available on GitHub.

Team “Away From The Crowd” used Canva, a graphic design platform, to create the Presentation Deck, and iMovie to create their Pitch.

In this hackathon, our team faced a lot of challenges, some of them were:

  • How to use the dataset, since we have never tried to use them before, so this took a lot of time from the team;
  • Deciding how we were going to demonstrate our solution, because while the video causes more comotion, a deck has more information about the project and its solutions; and
  • Technical difficulties, both on our website development and the pattern code.

Among these difficulties, the most challenging one was our pattern code.

Besides all these problems, we need to celebrate our wins, and the bigger ones were:

  • The team communication was flawless;
  • We were able to create the Fight the Pandemic website; and
  • We created the first version of our pattern code on Saturday Night.
Data & Resources

To create the spread model, the team used data from:

1.  Nasa’s EOSDIS platform 

2. SUS, Brazil Government’s Health Agency 


To generate and treat data from NASA satellites:

1.  GeoTIFF files extracted from NASA

2. Shape files from Brazilian Institute of Geography and Statistics



Tags
#COVID19 #BRAZIL #HUMANFACTORS #PANDEMIC #SPREADPATTERN #NIGHTLIGHTS #SEIRMODEL #DATASCIENCE #GEODATA #DATAANALYSIS
Global Judging
This project was submitted for consideration during the Space Apps Global Judging process.