Where There’s a Link, There’s a Way

Since the COVID-19 pandemic began, there has been a proliferation of websites and portals developed to share resources about the topic. Your challenge is to find innovative ways to present and analyze integrated, real-time information about the environmental factors affecting the spread of COVID-19.

Cap Zoom

Summary

Due to the enormous amount of existing data, it was possible to notice the difficulty on relating the destruction of the environment to the diseases' spread . Therefore, our solution seeks to unify diverse environmental databases and correlate with the location of spread pandemic-related data and its georeferencing. Such consolidation would generate statistical results in an interactive and visual way, enabling the discovery of new insights that could be shared with the population, the press and governments, making it easier to control and visualize what is happening on the planet.

How We Addressed This Challenge

The challenge was to analyze environmental and geographic data in order to understand what happens in the environment in the face of pandemics. The solution fits due to obtaining data such as population density and CO2, and seeking the generation of predictive model to estimate the chances of new pandemical and/or epidemiological outbreaks.

How We Developed This Project

Data mining has enabled the generation of new insights for a quick response to future pandemics.That’s why it is one of the motivations for the challenge. In the chosen approach we have developed a platform to generate insights regarding the connection between environmental care and disease to predict future pandemics and/or epidemics. To estimate these values we used data from “SEDAC - NASA” to search demographic information and “Earth Observatory”, to capture geographic data. During the project development, Photoshop and Miro were used to prototype the idea and build the platform interface. The main problems were on finding official documentation to export the data and perform integration with systems using programming languages.

Project Code
Data & Resources

Photoshop, Miro, Google Docs, Discord, Sony Vegas;

https://sedac.ciesin.columbia.edu/mapping/popest/covid-19/

https://earthobservatory.nasa.gov/images/89117/satellite-detects-human-contribution-to-atmospheric-co2

Tags
#zoomthreat #database #predictivepandemic #pandemic #healthfuture #environment
Global Judging
This project was submitted for consideration during the Space Apps Global Judging process.