Light the Path

The COVID-19 pandemic initiated changes in human population movements and activities around the world. Your challenge is to use Earth observations to explore how human activity and regional land-based human movement patterns may have shifted in response to COVID-19.

Covid-19 : Mass Migrations

Summary

The sudden announcement of the lockdown in India has led to the restriction of public transport causing millions of migrants to walk to their villages through different parts of India.This has caused a spike in COVID Cases throughout the country. We have taken the routes of the migrants to predict the areas where the highest rates of transmission may have occurred. So that testing can be carried out more effectively as the shortage of testing kit is very high in India.

How I Addressed This Challenge

 Our project takes the routes taken by the migrants and predicts the possible hotspots that have risen due to the movement of millions of migrants.  looking at the data we can find out that the states which fall nearby to these routes have the highest COVID cases such as Maharashtra, Delhi, Rajasthan, and Gujrat.  We know that India has a low amount of testing kits so with this project we can pin-point the likely hotspots of corona so that testing can be more effective and more people at vulnerable areas can be tested and taken care of.  This also ensures that the limited testing kits are used to help the people who are most likely at risk in these hotspots. Instead of checking uniformly in low-risk areas as well as high-risk areas we can directly check the people at these hotspots and minimize the risk of further transmission and reduce the overall death rate.

How I Developed This Project

Using the Google Map Javascript API we have taken the map of India and used it as our canvas. looking at different data published it was found that the highest number of cases can be found near the routes where the migrants traveled such as Maharashtra which has the highest number of cases in India, a total of 62,223 cases, or Rajasthan having a total of 8,365. We then were used to predicting the likely hotspots where the probability of the virus transmission was the highest. All these suspected areas are labeled as the circles in red. The red lines seen throughout the country are the paths traveled by the migrants.

Tags
#Software # Data # INDIACOVID19 #NASO
Global Judging
This project was submitted for consideration during the Space Apps Global Judging process.