This work employs several computational data science techniques including, but not limited to, data aquisition, manipulation, transformation, visualization, statistical inference and communication, to answer questions like:

• the impact COVID-19 has had on hospital capacity in different regions of the country over time
• the community burden of the COVID-19 pandemic
• health disparities in the COVID-19 impact across different regions of the country

Data for this research are publically available. They are non-identifiable and contain no protected health information.

• COVID-19 Reported Patient Impact and Hospital Capacity by State

• COVID-19 Community Vulnerability Crosswalk - Rank Ordered by Score

• Phase 1 - Proposal: Group1-project-phase-1.ipynb
• Because of the amount of code used in our analysis and to generate visualizations for our work, we have divided our submission across two main notebooks and several other supplemental files.

1. project.ipynb - Jupyter notebook containing the main written report with our motivating questions, description of the data, methods, results, and conclusions.

2. project_code.ipynb - Jupyter notebook containing all the code for our study. Running this notebook should reproduce all our results

3. /data - this folder holds all the datasets used and referenced in our analysis.

4. /images - folder containing all the images produced and/or embedded in the report.

5. /misc - contains other supplemental information including a data dictionary describing the variables selected for our final analysis.

Layla Bouzoubaa: Layla is a Moroccan-American professional learner, first-generation student, and advocate for equity in tech. She is a PhD student in Information Science and a Drexel Blue Fellow. She is eager to pursue her research interests at Drexel where she hopes to traverse the intersection of natural language processing methodology, substances of abuse and filling knowledge gaps between the fields with an array of novel data sources. @Bouzoulay | Blog | LinkedIn

Andrew Appleton: Andrew is a Licensed Veterinary Technician with 10 years experience, and a motivated Data Science student with a strong grasp of biology but limited coding experience. He is attempting a career change which he hopes will keep him in the sciences. In addition to his interests in biology and animal sciences, he is interested in languages and NLP as well as ecology and the environment. LinkedIn

Alicia Brandemarte: BLURB

Stephan Dupoux: Stephan Dupoux is a first year graduate student at Drexel University studying Artificial Intelligence and Machine Learning. He has expereince working in financial technology by creating algorithms and systems that are able to trade on the stock market. He is hoping to create a careeer in creating, developing, and testing machine learning models within anomoly detection and optimizing systems

Mary Lucas: BLURB

Shane Nelson: BLURB