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.

SafeShopping

Summary

A map-based webapp that calculates the levels of Covid19 presence at stores and other locations, and helps people plan out more safe times and locations to grocery shop and such, based on population density at stores at certain times

How We Addressed This Challenge

We used population data to make an estimate of higher risk areas and presented this information in an easily understandable way, so that the general public can then make informed decisions to both avoid the virus and avoid spreading the virus. Our team saw a clear link between population density and the spread of the virus and used this as our main calculation when trying to define high danger areas.

How We Developed This Project

We drew inspiration from S. Korea's amazing Covid19 response, where they notified the population of high risk areas to limit the spread of the virus. We wanted to produce a webapp that was both easily accessable and usable to do something similar. Django, Python, Javascript, CSS, and HTML were all used in the creation of SafeShopping. Our team has successfully completed a working prototype. We had a few limits with the data and also could use more refinement in all aspects of the app, however, we are still very proud of what we have accomplished.

Project Demo

https://docs.google.com/presentation/d/1EjifQES0foECMT239mv2ZYZE260c7NkClRdV0kQ1CNE/edit?usp=sharing

Data & Resources

Google Maps API, OpenStreetMap API

Tags
#population density, #shopping, #map, #covid, #coronavirus, #prevention, #safety
Global Judging
This project was submitted for consideration during the Space Apps Global Judging process.