Outbreak Visualization

Introduction

This Delta outbreak is still giving me headaches. Since I have only recently decided to integrate county-level case data, I wanted to see if the outbreak behaved like any other outbreak. I’d expect to see a few epicenters with the virus then spreading to the surrounding counties.

Video Description

• Displayed are the first 6 weeks of the third quarter of 2021

• The red color represents accumulated cases per capita

• The blue color represents accumulated vaccinations per capita

• 100% color opacity is assigned to the peak number of cases p.c. and vaccinations p.c. respectively

• 0% color intensity equals 0 cases/vaccinations p.c.

Another Useless CDC Dataset

Alas it turns out the CDC dataset only contained data for 1752 our of 3143 counties, so the results were hard to interpret visually.

To give you an idea, the white counties are not listed at all in the case dataset in question.

State-Level Data

Since I had spent all morning in a coding frenzy to visualize county-level data this way - doing a pretty awesome job if I do say so myself - I at least wanted to take a look at state level data which I had already visualized in scatter chart videos (I literally made hundreds of these - and I am not using the term literally lightly).

My Offer To You

If you have any county-level or state-level data that you would like to see visualized this way, I will gladly help you with that, since it only costs me a few minutes. It doesn’t have to be epidemiological data.

All I need from you is:

• A CSV file with…

  • …up to two timeseries per county (or state)

  • …with the geo or FIPS code of each county in the first column

  • …the variable name in the second column if there are two variables

• Information about which color (RGB code or color name) you want assigned to which variable (variable name + outline/fill)