COVID19 Personal Timeline and Data Tracking

15-Apr-20 | Categories: news | Tags: caronavirus, covid19, pandemic

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Personal Historical Timeline With News Events

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News and Data Resources

Developed by the World Health Organization. Providing up to date data from around the world. Your questions answered. Learn about Coronavirus. Recommendation from WHO. Advice for the public. Official WHO website. Official info on COVID-19.

Site built by Mike Krieger, with thanks to Ryan O’Rourke and Robby Stein. Thanks to Frank Dellaert and Adam Lerer for their contributions to the model and notebook.

Using sources from Wikipedia and European Centre for Disease Prevention and Control, Google has created a data tracker that provides a good visual and map for data.

Johns Hopkins experts in global public health, infectious disease, and emergency preparedness have been at the forefront of the international response to COVID-19. This website is a resource to help advance the understanding of the virus, inform the public, and brief policymakers in order to guide a response, improve care, and save lives.

Worldometer is run by an international team of developers, researchers, and volunteers with the goal of making world statistics available in a thought-provoking and time relevant format to a wide audience around the world. It is published by a small and independent digital media company based in the United States. We have no political, governmental, or corporate affiliation.

A collection of COVID-19 news, analysis and best practices from the world's most trustworthy sources.

COVID19 Contracted % and Cases To Death Charts*

2018 - Population :: Density (per km2) taken from WikipediaUSA 327200000 :: 36 (country)NJ 8909000 :: 467 (state)CH 8570000 :: 219 (country)CO 5696000 :: 20 (state)NY 19454000 :: 159 (state) *NY doesn't account for NYC as epicenter of USA with density at 10194 per km2


My data tracking sheet can be found here. The data source I'm using is: The data is recorded daily from the source website reporting yesterday counts. As you can see, I'm missing data because there are days I haven't logged the information. Data does not reflect corrected figures adjusted over time. Please visit for a deeper dive into the data.

Important observations, reflections, and conclusions for how I'm tracking in the above charts:

  • 3/27: I added NY. The figures provided from worldometer does not account for population density. So, we're looking at the entire state and not just the USA epicenter, New York City. I've noted that in my population table underneath the "Geographic %" chart.
  • 4/13: In my chart presentations "% Death to Cases" is slightly misleading. In reporting deaths, it is not possible to claim that this % is of those that are known/reported. The report is simply death by covid19. Meaning, people that have died from covid19 may or may not have been in the case reporting pool. I'm presenting it here to try and provide a relative sense.
  • 4/13: Regarding the reports from worldometer. For cases reported location comparison to the population, I am assuming little to no mobility from the persons' reporting location. This is also misleading and really can't be fully captured correctly. Here's why, hypothetical situation for an example: Let's say, I'm from NJ. I was tested and diagnosed while in CO on vacation, that counts as CO case. From there we know the technical options for the human (me): [a] I quarantined to the point where I could return/relocate, [b] I relocated (perhaps by driving) all the way back home to NJ or another location, [c] and if I died due to COVID19 in another location - I would be included in the count for the state I died in, not necessarily where I contracted it/because a confirmed case. So with the above, the option for human mobility makes it a bit misleading as well.
  • 4/24: Started tracking New Cases Reported and New Deaths Reported to easily see the change rates.
  • 5/6: Worldometers has been updating their data based on adjusted and more accurately reflected figures. Eg: the spikes I'm recording for NY and NJ are based on close of day figures they capture, but then it seems they do a historical "clean up" to adjust the figures.
  • 5/26: Various data tracking sources showing that USA tops 100k deaths from COVID19
  • 5/27: Back filled all the data from You'll notice some chatter in the earlier dates when I didn't log that day for yesterday. The website had some inconsistencies with its historical tracking totals and the daily "yesterday" figures as I went along day by day. Essentially, the data was "trued up" over time.
  • 5/31: Discontinued personal tracking.