Exploring the Pandemic

Processing and Visualizing Covid-19 Data

visualization
Author
Affiliation
Published

March 23, 2020

Keywords

covid19, daily, total, world, u.s., michigan, washtenaw, wayne, detroit, sars, mers, h1n1, ggplot2, mgcv, gratia, gam, geofacet, geom_sf, statebins

I once did quite a deep dive into the available covid data when the pandemic was at its height. The data was always changing then and as you can maybe guess, it’s changed a lot since then. I don’t care enough to try and make that post all work again, but in the interest of posterity I show some plots that came out of that. My main takeaway was that epidemiological models were absolute rubbish for predicting anything realtime, and the data/reporting was so inconsistent as to be almost meaningless as far as making specific claims. That said, it was a fun modeling and visualization exercise.

Note that I began the post early on and updated it sometime in the summer.

World

US State Level

Counties

Michigan

Model based

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Citation

BibTeX citation:
@online{clark2020,
  author = {Clark, Michael},
  title = {Exploring the {Pandemic}},
  date = {2020-03-23},
  url = {https://m-clark.github.io/posts/2020-03-23-covid/},
  langid = {en}
}
For attribution, please cite this work as:
Clark, Michael. 2020. “Exploring the Pandemic.” March 23, 2020. https://m-clark.github.io/posts/2020-03-23-covid/.