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?

Saving The Entire Planet (STEP) App

Summary

STEP app basically relates our daily human behaviour to the diseases that may arise as a result of these human activities. It will mostly involve informing the public on this relationship and using predictive modelling algorithms that serve to indicate possible infectious or non-infectious diseases that may emerge as a result of the population density and aerosol concentration of your area as well as your daily diet.

How We Addressed This Challenge

Our project seeks to answer the question of human involvement in spread of infectious diseases by informing the public as well as making them aware of the diseases that they are exposed to as a result of the human activities that they are involved in such as environmental degradation, poor consumption behaviour and urban overpopulation. 

How We Developed This Project

We chose this challenge because we believe that we are our greatest friend and enemy. Taking care of ourselves and that which is around us will prevent the spread of infectious diseases.We used NASA's Black Marble and the NASA SEDAC Global COVID19 Viewer to aeosol optimal depth and population distribution respectively in different areas and later discovered how diseases could be spread in certain regions of interest as a result of these factors. Despite having a challenging time navigating through some datasets, we were able to extract that which was relevant for our project. 

Project Demo

www.thestepproject2020.blogspot.com

Data & Resources

1.NASA's Black Marble,

2.NASA SEDAC Global COVID 19 Viewer

3.NASA COVID19 data pathfinder

4.WHO COVID19 distribution data.

Tags
#humanfactors #proposal #predictivemodelling
Global Judging
This project was submitted for consideration during the Space Apps Global Judging process.