Chapter 3: Results¶
This chapter covers my exploration of COVID 19 data over the course of this internship. The first section looks at the US as a whole and compares reported cases with the possible true number of infections. The next section dives into individual counties, starting with Los Angeles, CA, and derives a new metric to estimate infections. Section 3 covers Maricopa, AZ. In the 4th section, the metric derived in sections 1 and 2 is applied to other counties, and cross validated for accuracy. Section 5 examines how the virus has spread and changed over time, using fundamental tools of calculus. The final section attempts to answer the question “How might the virus spread in the future?”
Chapter 3.1: Estimated Infections vs Confirmed Cases
Chapter 3.2: LA County’s Estimated Infections and Rate of Detection
Chapter 3.3: Maricopa County’s Estimated Infections and Rate of Detection
Chapter 3.4: How do you cross validate detection rates?
Chapter 3.5: How is the virus changing over time?
Chapter 3.6: How might the virus spread in the future?
Chapter 3.7: How is the infection rate affected by public activity?