Introduction:

“In response to the COVID-19 pandemic, the White House and a coalition of leading research groups have prepared the COVID-19 Open Research Dataset (CORD-19). CORD-19 is a resource of over 59,000 scholarly articles, including over 47,000 with full text, about COVID-19, SARS-CoV-2, and related coronaviruses. This freely available dataset is provided to the global research community to apply recent advances in natural language processing and other AI techniques to generate new insights in support of the ongoing fight against this infectious disease. There is a growing urgency for these approaches because of the rapid acceleration in new coronavirus literature, making it difficult for the medical research community to keep up.”

The data is located on Semantic Scholar and JHU CSSE

1. What is COVID-19?
   • Symptoms
   • Genomic Sequence
2. What is the current state of COVID-19?
   • Global
   • United States
   • Factors of model parameters
   • S-R trend analysis
3. How can we forecast COVID-19?
   • SIR/SEIR Model
   • Logistic Regression: Sigmoid-Fitting
   • Convolutional Neural Network
4. How can we learn more about COVID-19?
   • Bibliometrics
   • Literature Clustering
   • Therapeutic Findings: Drugs and Vaccines
5. Theory
   • What is R0?
   • Deep Learning
   • Math