Show HN: Time Series of CDC's Covid-19 Vaccine Breakthrough Case Reporting

• covid19-breakthrough

  2 0 0.0 Perl

  Tools to work with vaccine breakthrough hospitalization/death from COVID-19 data provided by official sources

The CDC have been providing "COVID-19 Vaccine Breakthrough Case Investigation and Reporting"[1] information for points in time at close to weekly intervals. Every update erases the previous information and there doesn't seem to be an easily accessible table of these data. Snapshots of the page can be found on archive.today[2] and I have saved both those and some recent manually downloaded copies from cdc.gov.

Because copying & pasting by hand is error-prone, I wrote some code to extract the bits and pieces.

The repo is `nanis/covid19-breakthrough` on GitHub[3]. Snapshots are in the `snapshots` directory. There is also a CSV containing the time series of reported numbers of non-fatal hospitalizations and deaths from COVID-19 among the fully vaccinated[4].

`out/chart.html` shows the time series of fully vaccinated population in millions, hospitalizations and deaths among the fully vaccinated per 100,000 fully vaccinated individuals. You can view it locally by running a simple local web server[5]. There is a copy online[6].

[1]: https://www.cdc.gov/vaccines/covid-19/health-departments/breakthrough-cases.html

[2]: https://archive.today/https://www.cdc.gov/vaccines/covid-19/health-departments/breakthrough-cases.html

[3]: https://github.com/nanis/covid19-breakthrough

[4]: https://github.com/nanis/covid19-breakthrough/blob/11bb7c7495f7c417504971ab8c65aa1f5921baa1/out/2021-09-10.csv

[5]: https://gist.github.com/willurd/5720255

[6]: https://www.covid2020.icu/vaccine-breakthrough/

• InfluxDB

  www.influxdata.com featured

  Power Real-Time Data Analytics at Scale. Get real-time insights from all types of time series data with InfluxDB. Ingest, query, and analyze billions of data points in real-time with unbounded cardinality.

  

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