Capture human mobility data and analyze geospatial correlation between Covid 19 cases and movement of general population.
Human movement and transportation is a key factor In human civilization. With the growing globalization and increasing transportation efficiency the rapid movement of people plays a key role in the exponential spread of disease, such as in the case of Covid 19. Our team seeks to explore the growth of the virus in some of the most densely populated regions in the United States and effectively displaying the growth of the virus in such regions. We were able to use Chart.js for displaying the data, Python backend to scrap raw data and find trends and important features pertaining to the data, and flask to package the project.
https://docs.google.com/presentation/d/1lu4j9ou4xROjK7lHPvYLfOBpuFRXpeYbO6z_AU9HB9E/edit?usp=sharing
Google/Apple Mobility Data : State by State basis, updated daily
John Hopkins Covid Data : Country wide and State wide, updated daily